NLP Reading Group Schedule — Summer 2020
Monday 3:00-4:00pm, Video Chat

Person in charge: Reid Pryzant
Theme: we broke into random subgroups and each group picked papers.

Date Topic / Paper
Week of 10/5
  • X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers [pdf]
  • Word meaning in minds and machines [pdf]
  • Building machines that learn and think like people [pdf]
  • Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks [pdf]
  • It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners [pdf]
Week of 10/19
  • ALICE: Active Learning with Contrastive Natural Language Explanations [pdf]
  • Language Models are Few-Shot Learners [pdf]
  • Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision [pdf]
  • With Little Power Comes Great Responsibility [pdf]
Week of 11/2
  • Word Frequency Does Not Predict Grammatical Knowledge in Language Models [pdf]
  • Unsupervised Question Decomposition for Question Answering [pdf]
  • Graph-based, Self-Supervised Program Repair from Diagnostic Feedback [pdf]
Week of 11/16
  • Beyond Accuracy: Behavioral Testing of NLP models with CheckList [pdf]
  • When Do You Need Billions of Words of Pretraining Data? [pdf]

NLP Reading Group Schedule — Summer 2020
Monday 3:00-4:00pm, Video Chat

Person in charge: Reid Pryzant
Theme: StanfordNLP pubs

Date Moderator Topic / Paper
Jul 6 Reid Pryzant Organizational meeting
Jul 13 Reid Pryzant Zhang et al. Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports. ACL 2020. [pdf]
Jul 20 Mina Lee White, Mu et al. Learning to Refer Informatively by Amortizing Pragmatic Reasoning. CogSci 2020. [pdf]
Jul 27 Shikhar Murty Coleman et al. Selection via proxy: Efficient data selection via deep learning. ICLR 2020. [pdf]
Aug 3 No meeting.
Aug 10 Isabel Papadimitriou Geiger et al. Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models. Arxiv. [pdf]
Aug 17 Nelson Liu Manning Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics?. CICLing 2011. [pdf]
Aug 24 No Meeting.
Aug 31 Michihiro Yasunaga Liang Learning Executable Semantic Parsers for Natural Language Understanding. ACM 2016. [pdf]

NLP Reading Group Schedule — Winter 2019
Friday 3:00-4:00pm, Gates 219

Person in charge: Peter Henderson
Theme: Emergent Communication

Date Moderator Topic / Paper
Jan 10 Organizational meeting
Jan 17 Kawin Ethayarajh Andreas et al. Translating Neuralese. ACL 2017. [pdf]
Jan 24 Ben Newman Kharitonov et al. Entropy Minimization In Emergent Languages. Arxiv. [pdf]
Jan 31 Mina Lee Lee et al. Learning Autocomplete Systems as a Communication Game. Emergent Communication Workshop at Neural Information Processing Systems (NeurIPS) 2019. [pdf]
Feb 7 Shikhar Murty Andreas. Measuring Compositionality in Representation Learning. ICLR 2019. [pdf]
Nov 14 No meeting
Feb 21 Dilip Arumugam Mordatch and Abbeel. Emergence of Grounded Compositional Language in Multi-Agent Populations. AAAI 2018. [pdf]
Feb 29 Siddharth Karamcheti On the interaction between supervision and self-play in emergent communication. ICLR 2020. [pdf]
March 6 Peter Henderson Ease-of-Teaching and Language Structure from Emergent Communication. NeurIPS 2019. [pdf]
March 13 Dan Iter TBD TBD [pdf]

NLP Reading Group Schedule — Autumn 2019
Friday 2:00-3:00pm, Gates 219

Person in charge: Amita Kamath
Theme: Topics from Language Grounding, Transfer Learning and Dialogue Systems

Date Moderator Topic / Paper
Oct 4 Organizational meeting
Oct 11 Ashwin Paranjape Niu et al. Polite Dialogue Generation without Parallel Data. TACL 2018. [pdf]
Oct 18 Abigail See Sankar et al. Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. ACL 2019. [pdf]
Oct 25 Michihiro Yasunaga Levy et al. Zero-Shot Relation Extraction via Reading Comprehension. CoNLL 2017. [pdf]
Nov 1 Siddharth Karamcheti Instruction Following as Reward Modeling
Bahdanau et al. Learning to Understand Goal Specifications by Modelling Reward. ICLR 2019. [pdf]
Fu et al. From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following. ICLR 2019. [pdf]
Nov 8 No meeting (EMNLP in progress)
Nov 15 Abigail See, John Hewitt,
Nelson Liu, Robin Jia
Discussion: Interesting presentations from EMNLP 2019.
Nov 22 Chris Donahue Yang et al. XLNet: Generalized Autoregressive Pretraining for Language Understanding. Preprint 2019. [pdf]
Nov 29 No meeting (Thanksgiving)
Dec 6 No meeting (ACL Deadline)
Dec 13 TBD: Wrap-up or discussion about Ethics in NLP.

NLP Reading Group Schedule — Spring 2019
Friday 12:00-1:00pm, Gates 219

Person in charge: Robin Jia
Theme: Reinforcement learning and NLP

Date Moderator Topic / Paper
Apr 5 Organizational meeting
Apr 12 Peng Qi Overview of reinforcement learning
Apr 19 Ashwin Paranjape Inverse reinforcement learning and NLP
Wang et al. No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling. ACL 2018. [pdf]
Apr 26 Alex Tamkin Hierarchical reinforcement learning and NLP
Wang et al. Video Captioning via Hierarchical Reinforcement Learning. CVPR 2018. [pdf]
May 3 Panupong Pasupat Imitation learning and dynamic oracles
Goldberg and Nivre. A Dynamic Oracle for Arc-Eager Dependency Parsing. COLING 2012. [pdf]
May 10 Peter Henderson Exploring latent search spaces with reward shaping
Misra et al. Mapping Instructions and Visual Observations to Actions with Reinforcement Learning. EMNLP 2017. [pdf]
May 17 No meeting (EMNLP deadline)
May 24 Henry Friedlander Learning to ask questions
Buck et al. Ask the Right Questions: Active Question Reformulation with Reinforcement Learning. ICLR 2018. [pdf]
May 31 Mina Lee Reinforcement learning and dialogue systems
Liu et al. Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems. NAACL 2018. [pdf]
Jun 7 Wrap-up: what did we learn about reinforcement learning and NLP?

NLP Reading Group Schedule — Winter 2019
Friday 12:00-1:00pm, Gates 219

Person in charge: Robin Jia
Theme: Analyzing and attacking NLP models

Date Moderator Topic / Paper
Jan 11 Organizational meeting
Jan 18 Robin Jia Kuncoro et al. LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better. ACL 2018. [pdf] [blog post]
Jan 25 Amita Kamath Belinkov and Bisk. Synthetic and Natural Noise Both Break Neural Machine Translation. ICLR 2018. [pdf]
Feb 1 Allen Nie Ribeiro et al. Semantically Equivalent Adversarial Rules for Debugging NLP Models. ACL 2018. [pdf]
Feb 8 John Hewitt Dalvi et al. What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Model. AAAI 2019. [pdf]
Feb 15 Jesse Mu Ribeiro et al. Anchors: High-Precision Model-Agnostic Explanations. AAAI 2018. [pdf]
Feb 22 Sumith Kulal Feng et al. Pathologies of Neural Models Make Interpretations Difficult. EMNLP 2018. [pdf]
Mar 1 No meeting (ACL Deadline)
Mar 8 Kerem Goksel Peters et al. Dissecting Contextual Word Embeddings: Architecture and Representation. EMNLP 2018. [pdf]
Mar 15 Akhila Yerukola Tenney et al. What do you learn from context? Probing for sentence structure in contextualized word representations. ICLR 2019. [pdf]
Mar 22 Wrap-up: what did we learn about analyzing and attacking NLP models?

NLP Reading Group Schedule — Autumn 2018
Friday 12:00-1:00pm, Gates 219

Person in charge: Robin Jia
Theme: Natural language generation

Date Moderator Topic / Paper
Oct 5 Organizational meeting
Oct 12 Ashwin Paranjape Wiseman et al. Learning Neural Templates for Text Generation. 2018. [pdf]
Oct 19 Akhila Yerukola Clark et al. Neural Text Generation in Stories Using Entity Representations as Context. NAACL 2018. [pdf]
Oct 26 Robin Jia Holtzman et al. Learning to Write with Cooperative Discriminators. ACL 2018. [pdf]
Nov 2 Amita Kamath Guo et al. Top-Down Tree Structured Text Generation. 2018. [pdf]
Nov 9 Alex Tamkin Gu et al. Non-autoregressive Neural Machine Translation. ICLR, 2018 [pdf]
Nov 16 Abigail See Caccia et al. Language GANs Falling Short. 2018. [pdf]
Nov 23 No meeting (Thanksgiving)
Nov 30 Hugh Zhang Fan et al. Hierarchical Neural Story generation. ACL 2018. [pdf]
Dec 7 No meeting (NAACL deadline)
Dec 14 Mina Lee Cífka et al. Eval all, trust a few, do wrong to none: Comparing sentence generation models. 2018. [pdf]

NLP Reading Group Schedule — Spring 2018
Friday 1:00-2:00pm, Gates 304

Person in charge: Robin Jia

Date Moderator Topic / Paper
April 13 Robin Jia Recent work on unsupervised machine translation:
  • Alexis Conneau, Guillaume Lample, Marc'Aurelio Ranzato, Ludovic Denoyer, and Herve Jegou. Word Translation without Parallel Data. ICLR 2018. [pdf]
  • Guillaume Lample, Ludovic Denoyer, and Marc'Aurelio Ranzato. Unsupervised Machine Translation using Monolingual Corpora Only. ICLR 2018. [pdf]
  • Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. Unsupervised Neural Machine Translation. ICLR 2018. [pdf]
April 20 Braden Hancock Sebastian Ruder. An Overview of Multi-Task Learning in Deep Neural Networks. [pdf]
April 27 Peng Qi David Yarowsky. Unsupervised Word Sense Disambiguation Rivaling Supervised Methods. ACL 1995. [pdf]
May 4 Ashwin Paranjape
  • Hal Daume III. Frustratingly Easy Domain Adaptation. ACL 2007. [pdf]
  • Baochen Sun, Jiashi Feng, and Kate Saenko. Return of Frustratingly Easy Domain Adaptation. AAAI 2016. [pdf]
May 11 Dan Iter
  • Chelsea Finn, Pieter Abbeel, and Sergey Levine. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. ICML 2017. [pdf]
  • Alex Nichol, Joshua Achiam, and John Schulman. On First-Order Meta-Learning Algorithms. [pdf]
May 18 EMNLP break
Mar 25 Canceled due to Ilya Sutskever talk
June 1 Ice Pasupat
  • Yuan Zhang, David Gaddy, Regina Barzilay, and Tommi Jaakkola. Ten Pairs to Tag - Multilingual POS Tagging via Coarse Mapping between Embeddings. NAACL 2016. [pdf]
  • Mikel Artetxe, Gorka Labaka, and Eneko Agirre. Learning bilingual word embeddings with (almost) no bilingual data. ACL 2017. [pdf]
June 8 Abigail See Yuan Zhang, Regina Barzilay, and Tommi Jaakkola. Aspect-augmented Adversarial Networks for Domain Adaptation. TACL 2017. [pdf]

NLP Reading Group Schedule — Winter 2018
Monday 2:00-3:00pm, Gates 219

Person in charge: Robin Jia

Date Moderator Topic / Paper
Jan 22 Allen Nie Tao Lei, Regina Barzilay, and Tommi Jaakkola. Rationalizing Neural Predictions. EMNLP 2016. [pdf]
Jan 29 Peng Qi Recent work that uses syntactic parses for neural machine translation:
  • Akiko Eriguchi, Yoshimasa Tsuruoka, and Kyunghyun Cho. Learning to Parse and Translate Improves Neural Machine Translation. ACL 2017. [pdf]
  • Shuangzhi Wu, Dongdong Zhang, Nan Yang, Mu Li, and Ming Zhou. Sequence-to-Dependency Neural Machine Translation. ACL 2017. [pdf]
  • Huadong Chen, Shujian Huang, David Chiang, Jiajun Chen. Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder. ACL 2017. [pdf]
Feb 5 Will Monroe Jacob Andreas, Dan Klein, and Sergey Levine. Learning with Latent Language. arXiv, 2017. [pdf]
Feb 12 Braden Hancock Shashank Srivastava, Igor Labutov, and Tom Mitchell. Joint Concept Learning and Semantic Parsing from Natural Language Explanations. EMNLP, 2017. [pdf]
Feb 19 President's Day/ACL break
Feb 26 Yoav Artzi Guest talk
Mar 5 Ice Pasupat Sanjeev Arora, Yingyu Liang, and Tengyu Ma. A Simple but Tough-to-beat Baseline for Sentence Embeddings. ICLR, 2017. [pdf]
Mar 12 Dan Iter Alec Radford, Rafal Jozefowicz, and Ilya Sutskever. Learning to Generate Reviews and Discovering Sentiment. [pdf]
Mar 19 Yuhao Zhang Amar Parkash and Devi Parikh. Attributes for Classifier Feedback. [pdf]

NLP Reading Group Schedule — Fall 2017
Monday 2:00-3:00pm, Gates 219

Person in charge: Robin Jia

Date Moderator Topic / Paper
Oct 23 Ashwin Paranjape Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. NIPS 2016. [pdf]
Oct 30 Peng Qi Overview of the Turing Test, including: Alan Turing. Computing Machinery and Intelligence. Mind, 1950. [pdf]
Nov 6 Siva Reddy Brenden M. Lake, Marco Baroni. Still not systematic after all these years: On the compositional skills of sequence-to-sequence recurrent networks. arXiv, 2017. [pdf]
Nov 13 Ice Pasupat Tim Paek. Towards evaluation that leads to best practice: reconciling dialog evaluation in research and industry. NAACL, 2007. [pdf]
Nov 20 Thanksgiving Week
Nov 27 Urvashi Khandelwal Gábor Melis, Chris Dyer, and Phil Blunsom. On the State of the Art of Evaluation in Neural Language Models. arXiv, 2017. [pdf]
Dec 4 Will Monroe Zachary Lipton. The Mythos of Model Interpretability. ICML 2016 Workshop on Human Interpretability in Machine Learning (WHI 2016). [pdf]
Dec 11 Ziang Xie Huan Ling, Sanja Fidler. Teaching Machines to Describe Images via Natural Language Feedback. [pdf]

NLP Reading Group Schedule — Summer 2017
Wednesday 3:00-4:15pm, Gates 463A/219

Person in charge: Urvashi Khandelwal

Date Moderator Topic / Paper
Jun 28 Siva Reddy Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith. What Do Recurrent Neural Network Grammars Learn About Syntax? EACL 2017. [pdf]
Jul 12 Abi See Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin. Attention is all you need. [pdf]
Jul 19 Panupong (Ice) Pasupat Lukasz Kaiser, Aidan N. Gomez, Noam Shazeer, Ashish Vaswani, Niki Parmar, Llion Jones, Jakob Uszkoreit. One Model To Learn Them All. [pdf]
Jul 26 Robin Jia Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. [pdf]
Aug 2 ACL.
Aug 9 Ashwin Paranjape Alex Gittens, Dimitris Achlioptas, Michael W. Mahoney. Skip-Gram – Zipf + Uniform = Vector Additivity. ACL 2017. [pdf]
Aug 16 Fereshte Khani Igor Mordatch, Pieter Abbeel. Emergence of Grounded Compositional Language in Multi-Agent Populations. [pdf]
Aug 23 Sebastian Schuster Jacob Andreas, Anca Dragan, Dan Klein. Translating Neuralese. ACL 2017. [pdf]
Sep 6 Mihail Eric Jason D. Williams, Kavosh Asadi, Geoffrey Zweig. Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning ACL 2017. [pdf]

NLP Reading Group Schedule — Spring 2017
Wednesday 3:00-4:15pm, Gates 219

Person in charge: Peng Qi

Date Moderator Topic / Paper
Apr 5 Sanjeev Arora Guest talk on generative adversarial networks.
Apr 12 EMNLP deadline (4/14).
Apr 19 Peng Qi Tal Linzen, Emmanuel Dupoux, Yoav Goldberg. Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies. TACL 2017. [pdf]
Apr 26 Fereshte Khani Angeliki Lazaridou, Alexander Peysakhovich, Marco Baroni. Multi-Agent Cooperation and the Emergence of (Natural) Language. ICLR 2017. [pdf]
May 3 Urvashi Khandelwal Bhuwan Dhingra, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov. Linguistic Knowledge as Memory for Recurrent Neural Networks. arXiv. [pdf]
May 10 Robin Jia Ben Athiwaratkun, Andrew Gordon Wilson. Multimodal Word Distributions. ACL 2017. [pdf]
May 17 Arun Chaganty Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing. Controllable Text Generation. arXiv. [pdf]
May 24 Panupong (Ice) Pasupat Haonan Yu, Haichao Zhang, Wei Xu. A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment. arXiv. [pdf]
May 31 Kelvin Guu Mohammad Norouzi, Samy Bengio, Zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans. Reward Augmented Maximum Likelihood for Neural Structured Prediction. NIPS 2016. [pdf]
Jun 7 Dor Arad Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston. Key-Value Memory Networks for Directly Reading Documents. EMNLP 2016. [pdf]

NLP Reading Group Schedule — Winter 2017
Wednesday 3:00-4:15pm, Gates 219

Person in charge: Urvashi Khandelwal

Date Moderator Topic / Paper
Jan 18 Will Monroe Yoon Kim and Alexander M. Rush. Sequence-Level Knowledge Distillation. EMNLP 2016. [pdf]
Jan 25 Fereshte Khani E. Dario Gutierrez, Roger Levy and Benjamin K. Bergen. Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression. ACL 2016. [pdf]
Feb 1 ACL Deadline (2/6).
Feb 8 He He Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher. A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. Under review at ICLR 2017. [pdf]
Feb 15 Jon Gauthier Eric Jang, Shane Gu, Ben Poole. Categorical Reparameterization with Gumbel-Softmax. ICLR 2017. [pdf]
Feb 22 Kevin Clark Karthik Narasimhan, Adam Yala, Regina Barzilay. Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. EMNLP 2016. [pdf]
Mar 1 Yuhao Zhang Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi. Bidirectional Attention Flow for Machine Comprehension. arXiv:1611.01603. [pdf]
Victor Zhong Caiming Xiong, Victor Zhong, Richard Socher. Dynamic Coattention Networks For Question Answering. Under review at ICLR 2017. [pdf]
Mar 8 Danqi Chen Yoon Kim, Carl Denton, Luong Hoang, Alexander M. Rush. Structured Attention Networks. Under review at ICLR 2017. [pdf]
Mar 15 Robin Jia Kenton Lee, Mike Lewis, Luke Zettlemoyer. Global Neural CCG Parsing with Optimality Guarantees. EMNLP 2016. [pdf]
Mar 22 Abi See Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals. Understanding Deep Learning Requires Rethinking Generalization. Under review at ICLR 2017. [pdf]


NLP Reading Group Schedule — Fall 2016
Wednesday 3:00-4:15pm, Gates 219/415

Person in charge: Urvashi Khandelwal

Date Moderator Topic / Paper
Oct 5th Abi See Joseph Weizenbaum. ELIZA - A Computer Program for the Study of Natural Language Communication Between Man and Machine. Computational Linguistics 1966. [pdf]
Oct 12th Kai Sheng Tai Daniel G. Bobrow, Ronald M. Kaplan, Martin Kay, Donald A. Norman, Henry Thompson and Terry Winograd. GUS, A Frame-Driven Dialog System. Artificial Intelligence 1977. [pdf]
Oct 19th Panupong Pasupat Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, Li Deng. End-to-End Reinforcement Learning of Dialogue Agents for Information Access. arXiv:1609.00777. [pdf]
Oct 26th Jon Gauthier Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus. Learning Multiagent Communication with Backpropagation. arXiv:1605.07736. [pdf]
Nov 2nd Fereshte Khani Steve Young, Milica Gasic, Blaise Thomson and Jason D. Williams. POMDP-based Statistical Spoken Dialogue Systems: a Review. IEEE2013. [pdf]
Nov 9th Robin Jia Barbara J. Grosz and Candace L. Sidner. Attention, Intentions, and the Structure of Discourse. Computational Linguistics 1986. [pdf]
Nov 16th He He Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron Courville, Yoshua Bengio. A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. arXiv:1605.06069. [pdf]
Nov 23rd Thanksgiving break.
Nov 30th Yulia Tsvetkov Kenneth Mark Colby, Sylvia Weber and Franklin Dennis Hilf. Artificial Paranoia. Artificial Intelligence 1971. [pdf]
Dec 7th Ashwin Paranjape Terry Winograd. Understanding Natural Language. Cognitive Psychology 1972. [pdf]
Dec 14th Kevin Clark Jason D. Williams, Geoffrey Zweig. End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning. arXiv:1606.01269. [pdf]


NLP Reading Group Schedule — Summer 2016
Wednesday 12:00-1:15pm, Gates 120

Person in charge: Urvashi Khandelwal

Date Moderator Topic / Paper
Jun 29th Alex Wang Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio. Hierarchical Memory Networks. arXiv:1605.07427. [pdf]
Jul 6th Fereshte Khani Dave Golland, Percy Liang, Dan Klein. A Game-Theoretic Approach to Generating Spatial Descriptions. EMNLP2010. [pdf]
Jul 13th Mihail Eric Antoine Bordes, Jason Weston. Learning End-to-End Goal-Oriented Dialog. arXiv:1605.07683. [pdf]
Jul 20th Arun Chaganty Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski. Linear Algebraic Structure of Word Senses, with Applications to Polysemy. arXiv:1601.03764. [pdf]
Jul 27th Sebastian Schuster Siva Reddy, Oscar Tackstrom, Michael Collins, Tom Kwiatkowski, Dipanjan Das, Mark Steedman, Mirella Lapata. Transforming Dependency Structures to Logical Forms for Semantic Parsing. ACL2016 [pdf]
Aug 3rd Grace Muzny Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan Boyd-Graber, Hal Daume III. Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships. NAACL2016. [pdf]
Aug 10th ACL.
Aug 17th ACL review.
Aug 24th Ellie Pavlick (guest talk) Ellie Pavlick, Chris Callison-Burch. Most babies are little and most problems are huge: Compositional Entailment in Adjective-Nouns. ACL2016. [pdf]
Aug 31st Panupong Pasupat Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins. Globally Normalized Transition-Based Neural Networks. arXiv:1603.06042. [pdf]
Sep 7th Urvashi Khandelwal Tsung-Hsien Wen, David Vandyke, Nikola Mrksic, Milica Gasic, Lina M. Rojas-Barahona, Pei-Hao Su, Stefan Ultes, Steve Young. A Network-based End-to-End Trainable Task-oriented Dialogue System. arXiv:1604.04562. [pdf]
Sep 14th Yuhao Zhang Rafal Jozefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, Yonghui Wu. Exploring the Limits of Language Modeling. arXiv:1602.02410. [pdf]


NLP Reading Group Schedule — Spring 2016
Wednesday 12:15-1:15pm, Gates 219

Person in charge: Danqi Chen, Thang Luong

Date Moderator Topic / Paper
Apr 13th Will Monroe Jacob Andreas, Dan Klein. Reasoning About Pragmatics with Neural Listeners and Speakers. arXiv:1604.00562. [pdf]
April 20th Kevin Clark Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba. Sequence Level Training with Recurrent Neural Networks. ICLR2016. [pdf]
April 27th Jon Krause Alex Graves. Adaptive Computation Time for Recurrent Neural Networks. arXiv:1603.08983. [pdf]
May 4th Robin Jia Ben Hixon, Peter Clark, Hannaneh Hajishirzi. Learning Knowledge Graphs for Question Answering through Conversational Dialog. NAACL2015. [pdf]
May 11th Fereshte Khani Andreas Vlachos, Stephen Clark. A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing. TACL2014. [pdf]
May 18th Peng Qi Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, Gholamreza Haffari. Incorporating Structural Alignment Biases into an Attentional Neural Translation Model. NAACL2016. [pdf]
May 25th Arun Chaganty Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daume; III, John Langford. Learning to Search Better than Your Teacher. ICML2015 [pdf]
Jun 1st EMNLP deadline
Jun 8th Danqi Chen Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Phillip Bachman, Kaheer Suleman. A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data. arXiv:1603.08884. [pdf]


NLP Reading Group Schedule — Winter 2016
Wednesday 1-2pm, Gates 120 (usually)

Person in charge: Thang Luong

Date Moderator Topic / Paper
Jan 20th Panupong Pasupat Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein. Composing neural network modules for question answering. arXiv2015/2016. [paper1] [paper2]
Jan 27th Arun Chaganty Judith Eckle-Kohler, Roland Kluge, Iryna Gurevych. On the Role of Discourse Markers for Discriminating Claims and Premises in Argumentative Discourse. EMNLP2015. [pdf]
Feb 3rd Sam Bowman Survey of four papers on NNs for textual entailment. [paper1] [paper2] [paper3] [paper4]
Feb 10th Robin Jia Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations. arXiv2015. [pdf]
Feb 17th Fereshte Khani Volodymyr Kuleshov, Percy Liang. Calibrated Structured Prediction. NIPS2015. [pdf]
Feb 24th Suzanne Tamang Clinical event extraction. [paper1] [paper2] [paper3]
Mar 2nd Thang Luong Multi-task neural translation. [paper1] [paper2]
Mar 9th Rob Voigt More than Words + Media and Bias. [paper1] [paper2]


NLP Reading Group Schedule — Fall 2015
Wednesday 1:00-2:00pm, Gates 120 (usually)

Person in charge: Thang Luong

Date Moderator Topic / Paper
Oct 7th Russell Stewart S. Sukhbaatar, A. Szlam, J. Weston & R. Fergus. End-To-End Memory Networks. arXiv2015. [pdf]
Oct 14th Panupong Pasupat Yoav Artzi, Kenton Lee and Luke Zettlemoyer. Broad-coverage CCG Semantic Parsing with AMR. EMNLP2015. [pdf]
Oct 21st Peng Qi Karthik Narasimhan, Tejas Kulkarni and Regina Barzilay. Language Understanding for Text-based Games using Deep Reinforcement Learning. EMNLP2015. [pdf]
Oct 28th Danqi Chen Survey of attention-based papers: neural machine translatione, summarization, textual entailment, and reading comprehension.
Nov 4th Quoc Le Invited Talk. End-to-end Deep Learning for Text and Speech . Venue: Gates 219.
Nov 11th Wil Hamilton Tatsunori B. Hashimoto, David Alvarez-Melis, Tommi S. Jaakkola. Word, graph and manifold embedding from Markov processes. arXiv2015. [pdf]
Nov 18th (Gates 219) Fereshte Khani Jacob Andreas and Dan Klein. Alignment-Based Compositional Semantics for Instruction Following. EMNLP2015. [pdf]
Nov 25th Thanksgiving Break.
Dec 2nd Robin Jia Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni, Clint Malcolm. Solving Geometry Problems: Combining Text and Diagram Interpretation. EMNLP2015. [pdf]
Dec 9th Kevin Clark Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, Sanja Fidler. Skip-Thought Vectors. arXiv2015. [pdf]


NLP Reading Group Schedule — Spring 2015
Wednesday 11:30-1:00pm, Gates 120 (usually)

Person in charge: Thang Luong

Date Moderator Topic / Paper
Apr 1st Sam Bowman Joel Legrand, Ronan Collobert. Joint RNN-based Greedy Parsing and Word Composition. arXiv2014. [pdf]
Apr 8th Brainstorming
Apr 15th Gabor Angeli Marjan Ghazvininejad, Kevin Knight. How to Memorize a Random 60-Bit String. NAACL2015. [pdf]
Apr 22nd Panupong Pasupat Greg Durrett Dan Klein. A Joint Model for Entity Analysis: Coreference, Typing, and Linking. TACL2014. [pdf]
Apr 29th Will Monroe Jason Weston, Antoine Bordes, Sumit Chopra, Tomas Mikolov. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks. arXiv2015 [pdf]
May 6th Danqi Chen Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, and Kevin Murphy. What’s Cookin’? Interpreting Cooking Videos using Text, Speech and Vision. NAACL2015. [pdf]
May 13th Cancelled due to Sanjeev Arora's talk.
May 20th Ilya Sutskever Invited Talk. Sequence to sequence parsing and the Reinforcement Learning Neural Turing Machine. Venue: Gates 219.
Mar 27th Break (EMNLP).
Jun 3rd Kai Sheng Luke Vilnis, Andrew McCallum. Word Representations via Gaussian Embeddings. ICLR2015. [pdf]
Jun 10th Tim O'Donnell Invited Talk. Productivity, Reuse, and Lexicon Learning.


NLP Reading Group Schedule — Winter 2015
Wednesday 12:30-2:00pm, Gates 120 (usually)

Person in charge: Thang Luong

Date Moderator Topic / Paper
Jan 14th Oriol Vinyal Invited Talk. Recurrent Neural Nets as Language Decoders. Venue: Gates 219.
Jan 21st Thang Luong Sebastien Jean, Kyunghyun Cho, Roland Memisevic, Yoshua Bengio. On Using Very Large Target Vocabulary for Neural Machine Translation.. arXiv2014. [pdf]
Jan 28th Panupong Pasupat Antoine Bordes, Sumit Chopra, Jason Weston. Question Answering with Subgraph Embeddings. EMNLP2014. [pdf]
Feb 4th Sebastian Schuster Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, Noah A. Smith. A Dependency Parser for Tweets. EMNLP2014. [pdf]
Feb 11th Russell Stewart Jason Weston, Sumit Chopra, Antoine Bordes. Memory Networks. arXiv2014 [pdf]
Feb 18th Arun Chaganty R. Tsarfaty, E. Pogrebezky, G. Weiss, Y. Natan, S. Szekely, D. Harel. Semantic Parsing Using Content and Context: A Case Study from Requirements Elicitation. EMNLP2014. [pdf]
Feb 25th Break.
Mar 4th Fei-Fei Li TED Talk Practice.
Mar 11th Chris Callison-Burch Invited Talk. Crowdsourcing Translation. Venue: Gates 104 (12pm-1pm).


NLP Reading Group Schedule — Fall 2014
Wednesday 12:30-2:00pm, Gates 120 (usually)

Person in charge: Thang Luong

Date Moderator Topic / Paper
Oct 1st Thang Luong Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio. Neural Machine Translation by Jointly Learning to Align and Translate. arXiv2014. [pdf]
Oct 8th Arun Chaganty Siva Reddy, Mirella Lapata, Mark Steedman. Large-scale Semantic Parsing without Question-Answer Pairs. TACL2014. [pdf]
Oct 15th Kai Sheng (Gates 463) Ryan Kiros, Ruslan Salakhutdinov, Richard Zemel. Multimodal Neural Language Models. ICML2014. [pdf]
Oct 22nd Mike Kayser Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom. A Convolutional Neural Network for Modelling Sentences. ACL2014. [pdf]
Oct 29th Break
Nov 5th Alex Ratner Nate Kushman, Yoav Artzi, Luke Zettlemoyer, Regina Barzilay. Learning to Automatically Solve Algebra Word Problems. ACL2014. [pdf]
Nov 12th Jiwei Li Miao Fan, Deli Zhao, Qiang Zhou, Zhiyuan Liup, Thomas Fang Zheng, Edward Y. Chang. Distant Supervision for Relation Extraction with Matrix Completion. ACL2014. [pdf]
Nov 19th Thang Luong Quoc Le, Tomas Mikolov. Distributed Representations of Sentences and Documents. ICML2014. [pdf]
Nov 26th Thanksgiving break.
Dec 3rd Will Hamilton Jacob Andreas, Andreas Vlachos, Stephen Clark. Semantic Parsing as Machine Translation. ACL2013. [pdf]


NLP Reading Group Schedule — Summer 2014
Wednesday 12:30-2:00pm, Gates 159 (usually)

Date Moderator Topic / Paper
Jul 16th Keenon Werling David Hall, Taylor Berg-Kirkpatrick, John Canny, Dan Klein. Sparser, Better, Faster GPU parsing. ACL2014. [pdf]
Jul 23rd Angel Chang Qi Li, Heng Ji. Incremental Joint Extraction of Entity Mentions and Relations. ACL2014. [pdf]
Jul 30th Gabor Angeli Ce Zhang, Christopher Ré. DimmWitted: A Study of Main-Memory Statistical Analytics. VLDB2014. [pdf]
Aug 6th Caroline Mohit Bansal, David Burkett, Gerald de Melo, Dan Klein. Structured Learning for Taxonomy Induction with Belief Propagation. ACL2014. [pdf]
Aug 13th Arthur Thomas Kollar, Stefanie Tellex, Matthew R. Walter, Albert Huang, Abraham Bachrach, Sachi Hemachandra, Emma Brunskill, Ashis Banerjee, Deb Roy, Seth Teller, Nicholas Roy. Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Language. JAIR2013. [pdf]
Aug 20th Yushi Junwei Bao, Nan Duan, Ming Zhou, Tiejun Zhao. Knowledge-Based Question Answering as Machine Translation. ACL2014. [pdf]
Aug 27th Sebastian Nicholas Andrews, Jason Eisner, Mark Dredze. Robust Entity Clustering via Phylogenetic Inference. ACL2014. [pdf]
Sep 3rd Kelvin Guu Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, Tommi Jaakkola. Low-Rank Tensors for Scoring Dependency Structures. ACL2014. [pdf]
Sep 10th Sonal Gupta. Islam Beltagy, Katrin Erk, Raymond Mooney. Probabilistic Soft Logic for Semantic Textual Similarity. ACL2014. [pdf]


NLP Reading Group Schedule — Spring 2014
Wednesday 12:30-2:00pm, Gates 159 (usually)

Date Moderator Topic / Paper
Apr 23rd Jonathan Anthony Fader, Luke Zettlemoyer, Oren Etzioni. Open Question Answering Over Curated and Extracted Knowledge Bases. KDD2014. [pdf]
Apr 30th Sam Bowman Karl Moritz Hermann, Phil Blunsom. A Simple Model for Learning Multilingual Compositional Semantics. arXiv:1312.6173. [pdf]
May 7th Sebastian Laura Chiticariu, Yunyao Li, Frederick R. Reiss. Rule-based Information Extraction is Dead! Long Live Rule-based Information Extraction Systems!. ACL2013. [pdf]
May 14th Gabor Angeli Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, Chris Dyer, Noah A. Smith. A Discriminative Graph-Based Parser for the Abstract Meaning Representation. ACL2014. [pdf]
May 21st Mike Kayser Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz, John Makhoul. Fast and Robust Neural Network Joint Models for Statistical Machine Translation. ACL2014. [pdf]
May 28th Sonal Gupta Ni Lao, Amarnag Subramanya, Fernando Pereira, William W. Cohen. Reading The Web with Learned Syntactic-Semantic Inference Rules. EMNLP2012. [pdf]


NLP Reading Group Schedule — Winter 2014
Wednesday 12:30-2:00pm, Gates 159 (usually)

Date Moderator Topic / Paper
Jan 22nd Gabor Angeli Benjamin Roth, Dietrich Klakow. Combining Generative and Discriminative Model Scores for Distant Supervision. EMNLP2013. [pdf]
Jan 29th Panupong Pasupat Peter D. Turney. Distributional Semantics Beyond Words: Supervised Learning of Analogy and Paraphrase. TACL2013. [pdf]
Feb 5th Jacob Steinhardt Qi Zhang, Jin Qian, Huan Chen, Jihua Kang, Xuanjing Huang. Discourse Level Explanatory Relation Extraction from Product Reviews Using First-order Logic. EMNLP2013. [pdf]
Feb 12th Roy Frostig Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle Ungar. Experiments with Spectral Learning of Latent-Variable PCFGs. NAACL2013. [pdf]
Feb 19th Arun Chaganty Greg Durrett, Dan Klein. Easy Victories and Uphill Battles in Coreference Resolution. EMNLP2013. [pdf]
Feb 26th Angel Chang Alan Ritter, Luke Zettlemoyer, Mausam, Oren Etzioni. Modeling Missing Data in Distant Supervision for Information Extraction. TACL2013. [pdf]
Mar 5th Adam Vogel Anais Cadilhac, Nicholas Asher, Farah Benamara, Alex Lascarides. Grounding Strategic Conversation: Using negotiation dialogues to predict trades in a win-lose game. EMNLP2013. [pdf]
Mar 12th Danqi Chen He He, Hal Daume III, Jason Eisner. Dynamic Feature Selection for Dependency Parsing. EMNLP2013. [pdf]
Mar 19th Ziang Xie. Jimmy Dubuisson, Jean-Pierre Eckmann, Christian Scheible, Hinrich Schutze. The Topology of Semantic Knowledge. EMNLP2013. [pdf]


NLP Reading Group Schedule — Fall 2013
Wednesday 12:30-2:00pm, Gates 159 (usually)

Date Moderator Topic / Paper
Oct 16th Sonal (Gates 400) Hector J. Levesque. On our best behaviour. IJCAI13. [pdf]
Oct 23rd Roy Schwartz Roy Schwartz. Semantic representation using Flexible Patterns. EMNLP2013. [pdf]
Oct 30th Kenneth Heafield Barry Haddow. Applying Pairwise Ranked Optimisation to Improve the Interpolation of Translation Models. [pdf]
Nov 6th Jonathan Berant Anthony Fader et al. Paraphrase-Driven Learning for Open Question Answering [pdf]
Nov 13th Danqi Chen Liang Huang et al. Structured Perceptron with Inexact Search [pdf]
Nov 20th Sida Wang Alexander Rush. Optimal Beam Search for Machine Translation [pdf]
Nov 27th Break Break
Dec 4 Angel Cheng Sebastian Riedel. Relation Extraction with Matrix Factorization and Universal Schemas [pdf]
Dec 11th Gabor Angeli Johan van Benthem. A Brief History of Natural Logic [pdf]


NLP Reading Group Schedule — Summer 2013
Thursdays 4:00pm-5:30pm, Gates 260

Date Moderator Topic / Paper
Jul 25 Rob Shutova, Teufel, and Korhonen. Statistical Metaphor Processing. CL 2013. [pdf]
Aug 15 Arun Artzi and Zettlemoyer. Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions. TACL 2013. [pdf]
Aug 22 Gabor Cai and Yates. Large-scale Semantic Parsing via Schema Matching and Lexicon Extension.. ACL 2013. [pdf]
Aug 29 Thang Liu, Watanabe, Sumita, and Zhao. Additive Neural Networks for Statistical Machine Translation. ACL 2013. [pdf]


NLP Reading Group Schedule — Spring 2013
Wednesdays 12:00pm-1:30pm, Gates 159

Date Moderator Topic / Paper
Apr 10 Dan and Spence Chiang, Knight, and Wang. 11,001 New Features for Statistical Machine Translation. NAACL 2009. [pdf]
Apr 17 Jacob Clark and Lappin. Computational Learning Theory and Language Acquisition. Philosophy of Linguistics. [pdf]
Apr 24 Rob Bamman, O'Connor, and Smith. Censorship and Content Deletion in Chinese Social Media. First Monday 2012. [text]
May 1 Sida Goodfellow, Warde-Farley, Mirza, Courville, and Bengio. Maxout Networks. arXiv 2013. [pdf]
May 8 Roy Macherey, Och, Thayer, and Uszkoreit. Lattice-based Minimum Error Rate Training for Statistical Machine Translation.. EMNLP 2008. [pdf]
May 15 Jonathan Das and Smith. Graph-Based Lexicon Expansion with Sparsity-Inducing Penalties. NAACL/HLT 2012. [pdf]
May 22 Roy Rush and Petrov. Vine Pruning for Efficient Multi-Pass Dependency Parsing. NAACL/HLT 2012. [pdf]
May 29 Arun Rush and Collins. Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation. ACL/HLT 2011. [pdf]
June 5 Miriam Webber and Joshi. Discourse Structure and Computation: Past, Present and Future. ACL 2012. [pdf]


NLP Reading Group Schedule — Winter 2013
Wednesdays 12:00pm-1:30pm, Gates 359

Date Moderator Topic / Paper
Jan 23 Kevin Huang and Riloff. Modeling Textual Cohesion for Event Extraction. AAAI 2012. [pdf]
Jan 30 Sida Chiang. Hope and Fear for Discriminative Training of Statistical Translation Models. JMLR 2012. [pdf]
Feb 6 Will Dyer, Clark, Lavie, and Smith. Unsupervised Word Alignment with Arbitrary Features. ACL 2011. [pdf]
Feb 13 Jacob McDonald, Pereira, Ribarov, and Hajic. Non-projective Dependency Parsing using Spanning Tree Algorithms. HLT/EMNLP 2005. [pdf]
Feb 27 Arun Scheible and Schuetze. Cutting Recursive Auto-encoder Trees. arXiv 2013. [pdf]
Mar 6 Rob Mikolov, Chen, Corrado, and Dean. Efficient Estimation of Word Representation in Vector Space. arXiv 2013. [pdf]
Mar 13 Adam Branavan, Kushman, Lei, and Barzilay. Learning High-Level Planning from Text. ACL 2012. [pdf]
Mar 20 Arun Yahya, Berberich, Elbassuoni, Ramanath, Tresp, and Weikum. Natural Language Questions for the Web of Data. EMNLP 2012. [pdf]


NLP Reading Group Schedule — Fall 2012
Wednesdays 12:30pm-2:00pm, Gates 159

Date Moderator Topic / Paper
Oct 10 Gabor Samdani, Chang, and Roth. Unified Expectation Maximization. NAACL 2012. [pdf]
Oct 17 Julie Bootkrajang and Kaban. Label-noise Robust Logistic Regression and Its Applications. ECML/PKDD 2012. [pdf]
Oct 24 Sonal Mukherjee and Liu. Aspect Extraction through Semi-Supervised Modeling. ACL 2012. [pdf]
Oct 31 Rob Yao, Riedel, and McCallum. Unsupervised Relation Discovery with Sense Disambiguation. ACL 2012. [pdf]
Nov 7 Jonathan Gillenwater, Kulesza, and Taskar. Discovering Diverse and Salient Threads in Document Collections. EMNLP 2012. [pdf]
Nov 14 Wanxiang Berg-Kirkpatrick, Burkett, and Klein. An Empirical Investigation of Statistical Significance in NLP.. EMNLP 2012. [pdf]
Nov 28 Jean Shindo, Miyao, Fujino, and Nagata. Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing. ACL 2012. [pdf]
Dec 5 Everyone Writing Group - NAACL 2013 and Beyond
Dec 12 Risk Extraction Paper.


NLP Reading Group Schedule — Spring 2012
Wednesdays 1:00pm-3:00pm, Gates 159

Date Moderator Topic / Paper
Apr 11 Marta Barzilay and Lapata. Modeling Local Coherence: An Entity-Based Approach. ACL 2005. [pdf; CL 2008 version]
Apr 18 Val Bille. A Survey on Tree Edit Distance and Related Problems. TCS 2005. [pdf]
Apr 25 Mengqiu Mao and Lebanon. Isotonic Conditional Random Fields and Local Sentiment Flow. NIPS 2007. [pdf]
May 2 David Mohamed, Hruschka and Mitchell. Discovering Relations between Noun Categories. EMNLP 2011. [pdf]
May 9 Rob Elson, Dames and McKeown. Extracting Social Networks from Literary Fiction. ACL 2010. [pdf]
May 16 Gabor Bernstein, Little, Miller, Hartmann, Ackerman, Karger, Crowell and Panovich. Soylent: A Word Processor with a Crowd Inside. UIST 2010. [pdf]
(and/or Bernstein, Brandt, Miller and Karger. Crowds in Two Seconds: Enabling Realtime Crowd-Powered Interfaces. UIST 2011. [pdf])
May 23 Wanxiang Martins, Smith and Xing. Concise Integer Linear Programming Formulations for Dependency Parsing. ACL-IJCNLP 2009. [pdf]
May 30 Mihai McIntosh, Yencken, Curran and Baldwin. Relation Guided Bootstrapping of Semantic Lexicons. ACL 2011. [pdf]
Jun 6 Heeyoung Lerman, Gilder, Dredze and Pereira. Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis. COLING 2008. [pdf]
Jun 13 Sonal Popescu and Etzioni. Extracting Product Features and Opinions from Reviews. HLT-EMNLP 2005. [pdf]


NLP Reading Group Schedule — Winter 2012
Fridays 1:15pm-2:30pm, Gates 392

Date Moderator Topic / Paper
Jan 27 Mengqiu Zhang, Fang, Xu and Wu. Binarized Forest to String Translation. ACL 2011. [pdf]
Feb 3 Kevin Li. Understanding the Semantic Structure of Noun Phrase Queries. ACL 2010. [pdf]
Feb 10 Angel Das and Petrov. Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections. ACL 2011. [pdf]
Feb 17 Natalia Kim and Mooney. Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision. COLING 2010. [pdf]
Feb 24 Heeyoung Berg-Kirkpatrick, Bouchard-Côté, DeNero and Klein. Painless Unsupervised Learning with Features. NAACL 2010. [pdf]
Mar 2 Sonal Ganchev, Graça, Gillenwater and Taskar. Posterior Regularization for Structured Latent Variable Models. MLR 2010. [pdf]
Mar 9 Rob Berant, Gross, Mussel, Sandbank, Ruppin and Edelman. Boosting Unsupervised Grammar Induction by Splitting Complex Sentences on Function Words. BUCLD 2006. [pdf]
Mar 16 Wanxiang McDonald, Petrov and Hall. Multi-Source Transfer of Delexicalized Dependency Parsers. EMNLP 2011. [pdf]
Mar 23 Gabor Mulkar-Mehta, Welty, Hobbs and Hovy. Using Granularity Concepts for Discovering Causal Relations. FLAIRS 2011. [pdf]
Mar 30 Marta Ittoo, Bouma, Maruster and Wortmann. Extracting Meronymy Relationships from Domain-Specific, Textual Corporate Databases. NLDB 2010. [pdf]


NLP Reading Group Schedule — Fall 2011
Wednesdays 12:15pm-2:00pm, Gates 359

Date Moderator Topic / Paper
Oct 12 Adam Artzi and Zettlemoyer. Bootstrapping Semantic Parsers from Conversations. EMNLP 2011. [pdf]
Oct 19 David Tsarfaty, Nivre and Andersson. Evaluating Dependency Parsing: Robust and Heuristics-Free Cross-Annotation Evaluation. EMNLP 2011. [pdf]
Oct 26 Kevin Poon and Domingos. Sum-Product Networks: A New Deep Architecture. UAI 2011. [pdf]
Nov 2 Chris Manning. Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics? CICLing 2011. [pdf]
Nov 9 Marta Baroni and Lenci. Distributional Memory: A General Framework for Corpus-Based Semantics. CL 2010. [pdf]
Nov 16 Gabor Chen, Benson, Naseem and Barzilay. In-domain Relation Discovery with Meta-constraints via Posterior Regularization. ACL 2011. [pdf]
Nov 30 Angel Clark. Efficient, correct, unsupervised learning of context-sensitive languages. CoNLL 2010. [pdf]
Dec 7 Val Atkinson. Phonemic Diversity Supports a Serial Founder Effect Model of Language Expansion from Africa. Science 2011. [abstract]
Dec 14 Mihai Hoffmann, Zhang, Ling, Zettlemoyer and Weld. Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations. ACL 2011. [pdf]


NLP Reading Group Schedule — Spring 2011
Wednesdays 12:00pm-1:30pm, Gates 159

Date Moderator Topic / Paper
Apr 13 Nate Eisenstein, O'Connor, Smith and Xing. A Latent Variable Model for Geographic Language Variation EMNLP 2010. [pdf]
Apr 20 Adam Poon and Domingos Unsupervised Ontology Induction from Text. ACL 2010. [pdf]
Apr 27 Yves Reisinger and Mooney Multi-Prototype Vector-Space Models of Word Meaning. NAACL 2010. [pdf]
May 4 Nikhil Hoffman, Blei and Bach Online Learning for Latent Dirichlet Allocation. NIPS 2010. [pdf]
May 11 Gabor Corlett and Penn An Exact A* Method for Deciphering Letter-Substitution Ciphers. ACL 2010. [pdf]
May 18 Angel Liang, Jordan and Klein Learning Dependency-Based Compositional Semantics. ACL 2011. [pdf]
May 25 David Dredze, Oates and Piatko We're Not in Kansas Anymore: Detecting Domain Changes in Streams. EMNLP 2010. [pdf]


NLP Reading Group Schedule — Winter 2011
Tuesdays 12:00pm-1:30pm, Gates 200

Date Moderator Topic / Paper
Jan 18 Robert Bergsma, Bhargava, He and Kondrak. Predicting the Semantic Compositionality of Prefix Verbs. EMNLP 2010. [pdf]
Jan 25 Yves Mitchell and Lapata. Composition in Distributional Models of Semantics. Cognitive Science 34(8): 1388-1429, November 2010. [pdf]
Feb 1 Adam Daume, Langford, and Marcu. Search-based Structured Prediction. Machine Learning Journal 2006. [pdf]
Feb 8 Nikhil Dunning. Accurate Methods for the Statistics of Surprise and Coincidence. Computational Linguistics 19(1): 61-74, 1993. [pdf]
Feb 15 Sonal Sauper, Haghighi and Barzilay. Incorporating Content Structure into Text Analysis Applications. EMNLP 2010. [pdf]
Feb 22 Heeyoung Grosz and Sidner. Attention, Intentions and the Structure of Discourse. Computational Linguistics 12(3), 1986. [pdf]
Mar 1 Gabor Michel et al. Quantitative Analysis of Culture Using Millions of Digitized Books. Science 17 December 2010: 1600. [pdf]
Mar 8 David Charniak. Top-Down Nearly Context-Sensitive Parsing. EMNLP 2010. [pdf]


NLP Reading Group Schedule — Fall 2010
Mondays 11:00am-12:30pm, Gates 200

Date Moderator Topic / Paper
Oct 4 Valentin Spitkovsky Adwait Ratnaparkhi. A Linear Observed Time Statistical Parser Based on Maximum Entropy Models
Oct 11 Adam Vogel Dave Golland, Percy Liang and Dan Klein. A Game-Theoretic Approach to Generating Spatial Descriptions 2010. EMNLP [pdf]
Oct 18 David McClosky Hagen Fuerstenau and Mirella Lapata. Graph Alignment for Semi-Supervised Semantic Role Labeling 2009. EMNLP. [pdf]
Oct 25 Reza Zadeh Aria Haghighi, Taylor Berg-Kirkpatrick and Dan Klein. Learning Bilingual Lexicons from Monolingual Corpora 2008. ACL [pdf]
Nov 1 Richard Socher Mark Johnson, Thomas L. Griffiths, and Sharon Goldwater. Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models 2007. NIPS. [pdf]
Nov 8 Nate Chambers Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr. and Tom Mitchell. Coupled Semi-Supervised Learning for Information Extraction 2010. WSDM [pdf]
Nov 15 Spence Green Kuzman Ganchev, Joao Graca, Jennifer Gillenwater and Ben Taskar. Posterior Regularization for Structured Latent Variable Models 2010 JMLR. [pdf]


NLP Reading Group Schedule — Spring 2010
Tuesdays 1:30-3:00pm, Gates 200

Date Moderator Topic / Paper
Mar 30 Spence Green Organizational Meeting
Apr 6 Dan Ramage Arthur Asuncion, Max Welling, Padhraic Smyth, and Yee Whye Teh. On Smoothing and inference for Topic Modeling 2009. UAI [pdf]
Apr 13 Adam Vogel Fei Xu, Joshua Tenenbaum Word Learning as Bayesian Inference 2007. Psychological Review 114(2). [pdf]
Apr 20 Sonal Gupta Jonathan Chang, Jordan Boyd-Graber, and David M. Blei. Connecting Between the Lines: Augmenting Social Networks with Text. 2009. In KDD. [pdf]
Apr 27 Richard Socher Three New Graphical Models for Statistical Language Modeling. 2007. In ICML. [pdf]
May 4 Steven Bethard Cohn, T. A Bayesian Model of Syntax-Directed Tree to String Grammar Induction. 2009. In EMNLP. [pdf]
May 11 David McClosky Huang, L. Bilingually-Constrained (Monolingual) Shift-Reduce Parsing. 2009. In EMNLP. [pdf]
May 18 Adam Vogel Bengio et al. Curriculum Learning. 2009. In ICML. [pdf]
May 25 Spence Green Smith and Eisner. Parser Adaptation and Projection with Quasi-synchronous Grammar Features. 2009. In EMNLP. [pdf]
Jun 8 Michel Galley M. Hopkins and G. Langmead. Cube Pruning as Heuristic Search 2009. In EMNLP. [pdf]


NLP Reading Group Schedule — Winter 2011
Tuesdays 12:00pm-1:30pm, Gates 200

Date Moderator Topic / Paper
Jan 18 Robert Bergsma, Bhargava, He and Kondrak. Predicting the Semantic Compositionality of Prefix Verbs. EMNLP 2010. [pdf]
Jan 25 Yves Mitchell and Lapata. Composition in Distributional Models of Semantics. Cognitive Science 34(8): 1388-1429, November 2010. [pdf]
Feb 1 Adam Daume, Langford, and Marcu. Search-based Structured Prediction. Machine Learning Journal 2006. [pdf]
Feb 8 Nikhil Dunning. Accurate Methods for the Statistics of Surprise and Coincidence. Computational Linguistics 19(1): 61-74, 1993. [pdf]
Feb 15 Sonal Sauper, Haghighi and Barzilay. Incorporating Content Structure into Text Analysis Applications. EMNLP 2010. [pdf]
Feb 22 Heeyoung Grosz and Sidner. Attention, Intentions and the Structure of Discourse. Computational Linguistics 12(3), 1986. [pdf]
Mar 1 Gabor Michel et al. Quantitative Analysis of Culture Using Millions of Digitized Books. Science 17 December 2010: 1600. [pdf]
Mar 8 David Charniak. Top-Down Nearly Context-Sensitive Parsing. EMNLP 2010. [pdf]


NLP Reading Group Schedule — Fall 2010
Mondays 11:00am-12:30pm, Gates 200

Date Moderator Topic / Paper
Oct 4 Valentin Spitkovsky Adwait Ratnaparkhi. A Linear Observed Time Statistical Parser Based on Maximum Entropy Models
Oct 11 Adam Vogel Dave Golland, Percy Liang and Dan Klein. A Game-Theoretic Approach to Generating Spatial Descriptions 2010. EMNLP [pdf]
Oct 18 David McClosky Hagen Fuerstenau and Mirella Lapata. Graph Alignment for Semi-Supervised Semantic Role Labeling 2009. EMNLP. [pdf]
Oct 25 Reza Zadeh Aria Haghighi, Taylor Berg-Kirkpatrick and Dan Klein. Learning Bilingual Lexicons from Monolingual Corpora 2008. ACL [pdf]
Nov 1 Richard Socher Mark Johnson, Thomas L. Griffiths, and Sharon Goldwater. Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models 2007. NIPS. [pdf]
Nov 8 Nate Chambers Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr. and Tom Mitchell. Coupled Semi-Supervised Learning for Information Extraction 2010. WSDM [pdf]
Nov 15 Spence Green Kuzman Ganchev, Joao Graca, Jennifer Gillenwater and Ben Taskar. Posterior Regularization for Structured Latent Variable Models 2010 JMLR. [pdf]


NLP Reading Group Schedule — Spring 2010
Tuesdays 1:30-3:00pm, Gates 200

Date Moderator Topic / Paper
Mar 30 Spence Green Organizational Meeting
Apr 6 Dan Ramage Arthur Asuncion, Max Welling, Padhraic Smyth, and Yee Whye Teh. On Smoothing and inference for Topic Modeling 2009. UAI [pdf]
Apr 13 Adam Vogel Fei Xu, Joshua Tenenbaum Word Learning as Bayesian Inference 2007. Psychological Review 114(2). [pdf]
Apr 20 Sonal Gupta Jonathan Chang, Jordan Boyd-Graber, and David M. Blei. Connecting Between the Lines: Augmenting Social Networks with Text. 2009. In KDD. [pdf]
Apr 27 Richard Socher Three New Graphical Models for Statistical Language Modeling. 2007. In ICML. [pdf]
May 4 Steven Bethard Cohn, T. A Bayesian Model of Syntax-Directed Tree to String Grammar Induction. 2009. In EMNLP. [pdf]
May 11 David McClosky Huang, L. Bilingually-Constrained (Monolingual) Shift-Reduce Parsing. 2009. In EMNLP. [pdf]
May 18 Adam Vogel Bengio et al. Curriculum Learning. 2009. In ICML. [pdf]
May 25 Spence Green Smith and Eisner. Parser Adaptation and Projection with Quasi-synchronous Grammar Features. 2009. In EMNLP. [pdf]
Jun 8 Michel Galley M. Hopkins and G. Langmead. Cube Pruning as Heuristic Search 2009. In EMNLP. [pdf]


NLP Reading Group Schedule — Winter 2010
Tuesdays 1:30-3:00pm, Gates 200

Date Moderator Topic / Paper
Jan 12 Spence Green Organizational Meeting
Jan 19 Steven Bethard Brown, P., deSouza, P, Mercer, R, Della Pietra, V and Lai, J. Class-based n-gram models of natural language. 1992. Computational Linguistics. [pdf]
Jan 26 David McClosky and Mihai Surdeanu Collins, M. and Singer, Y. Unsupervised Models for Named Entity Classification. 1999. [pdf]
Feb 2 Sonal Gupta and Chris Manning Evans, N., & Levinson, S. C. The myth of language universals: Language diversity and its importance for cognitive science. 2009. Behavioral and Brain Sciences, 32(5), 429-492. [pdf]
Feb 9 Spence Green Evans, N., & Levinson, S. C. The myth of language universals: Language diversity and its importance for cognitive science. 2009. Behavioral and Brain Sciences, 32(5), 429-492. [On cluster: /scr/spenceg/lev2.pdf]
Feb 16 Val Spitkovsky Daelemans, W. Memory-Based Lexical Acquisition and Processing. 1995. Proc. of the Third International EAMT Workshop on Machine Translation and the Lexicon [pdf]
Feb 23 Spence Green Fong, S. and Berwick, R. Treebank Parsing and Knowledge of Language: A Cognitive Perspective. 2008. Proc. of the Annual Meeting of the Cognitive Science Society [pdf]
Mar 2 Nate Chambers Liszkowski, U., Schäfer, M., Carpenter, M., & Tomasello, M. Prelinguistic infants, but not chimpanzees, communicate about absent entities. 2009. Psychological Science, 20(5), 654-660. [pdf]
Mar 9 Richard Socher Bengio, Y., Ducharme, R., Vincent, P., and Jauvin, C. A Neural Probabilistic Language Model. Journal of Machine Learning Research 3 (2003) 1137-1155. [pdf]
Mar 16 Adam Vogel Collobert, Ronan and Weston, Jason. A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning. In ICML. [pdf]


NLP Reading Group Schedule — Fall 2009
Wednesdays at 12:00-1:30pm, Gates 200

Date Moderator Topic / Paper
Sep 30 Spence Green Organizational Meeting
Oct 7 Ramesh Nallapati G. Druck, B. Settles and A. McCallum. Active Learning by Labeling Features. EMNLP 2009. [pdf]
Oct 14 David Vickrey P. Liang, M. Jordan and D. Klein. Learning Semantic Correspondences with Less Supervision. ACL 2009. [pdf]
Oct 21 Jenny Finkel A. Haghighi and D. Klein. Simple Coreference Resolution with Rich Syntactic and Semantic Features. NAACL 2009. [pdf]
Oct 28 Nate Chambers S. Patwardhan and E. Riloff. A Unified Model of Phrasal and Sentential Evidence for Information Extraction. EMNLP 2009. [pdf]
Nov 4 Mihai Surdeanu J. Suzuki, H. Isozaki, X. Carreras and M. Collins. An Empirical Study On Semi-Supervised Structured Conditional Models For Dependency Parsing. EMNLP 2009. [pdf]
Nov 11 Adam Vogel S.R.K. Branavan, H. Chen, L. Zettlemoyer and R. Barzilay. Reinforcement Learning for Mapping Instructions to Actions. ACL 2009. [pdf]
Nov 18 Spence Green R. Tsarfaty, K. Sima'an, and R. Scha. An Alternative to Head-Driven Approaches for Parsing a (Relatively) Free Word-Order Language. EMNLP 2009. [pdf]
Nov 25 Thanksgiving
Dec 2 Steven Bethard C. Callison-Burch. Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk. EMNLP 2009. [pdf]
Dec 9 Uriel Cohen-Priva J. Nivre. Non-Projective Dependency Parsing in Expected Linear Time. ACL 2009. [pdf]


NLP Reading Group Schedule — Summer 2009
Mondays at 2:30-4:00pm, Gates 400

Date Moderator Topic / Paper
Jun 15 Jenny Finkel Organizational Meeting
Jun 22 Dan Ramage C. Wang, B. Thiesson, C. Meek, and D. Blei. Markov Topic Models. AIStats 2009. [pdf]
Jun 29 Adam Vogel Hoifung Poon, Colin Cherry and Kristina Toutanova . Unsupervised Morphological Segmentation with Log-Linear Models. NAACL 2009. [pdf]
Jul 6 David Vickrey Hoifung Poon and Pedro Domingos. Unsupervised Semantic Parsing. EMNLP 2009. [pdf]
Jul 13 Jenny Finkel Andrew Carlson, Justin Betteridge, Estevam Rafael Hruschka Junior and Tom M. Mitchell. Coupling Semi-Supervised Learning of Categories and Relations. [pdf]
Jul 20 -- No Meeting - Pi-Chuan's defense!!!!!
Jul 27 Val Spitkovsky D. Roth, K. Small, and I. Titov . Sequential Learning of Classifiers for Structured Prediction Problems. AIStats 2009. [pdf]
Aug 3 -- No Meeting - ACL/EMNLP
Aug 10
Aug 17 Mihai Durdeanu J. Reisinger and M. Pasca. Latent Variable Models of Concept-Attribute Attachment. ACL 2009. [pdf]
Aug 24 Yun-Hsuan Sung D. Chiang, K. Knight, and W. Wang. 11,001 New Features for Statistical Machine Translation. NAACL 2009. [pdf]
Aug 31 Val Spitkovsky Y. Albert Park and Roger Levy. Minimal-length linearizations for mildly context-sensitive dependency trees. NAACL 2009. [pdf]
Sept. 7
Sept. 14 Dan Cer Chun-Nam John Yu, Thorsten Joachims. Learning Structural SVMs with Latent Variables. ICML 2009. [pdf]
Sept. 21 Ramesh Nallapati Chen, Branavan, Berzilay and Karger. Global Models of Document Structure using Latent Permutations. NAACL 2009. [pdf]


NLP Reading Group Schedule — Spring 2009
Tuesdays at 12:0-1:30pm, Gates 200

Date Moderator Topic / Paper
Mar 31 Jenny Finkel Organizational Meeting
Apr 14 Adam Vogel Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemoyer. A Generative Model for Parsing Natural Language to Meaning Representations EMNLP 2008. [pdf]
Apr 21 Nate Chambers Finding and Linking Incidents in the News [pdf]
Apr 28 -- No Meeting - Good Luck with EMNLP Submissions!
May 5 Jenny Finkel The Unreasonable Effectiveness of Data [pdf]
May 12 David Vickrey S. Cohen and N. Smith. Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction NAACL 2009 [pdf]
May 19 Ramesh Nallapati David Mimno, Hanna Wallach and Andrew McCallum. Gibbs Sampling for Logistic Normal Topic Models with Graph-Based Priors. NIPS Workshop on Analyzing Graphs, 2008, Whistler, BC. [pdf]
May 26 Steven Bethard Amarnag Subramanya, Jeff Bilmes. Soft-Supervised Learning for Text Classification EMNLP 2008 [pdf]
Jun 2 Mihai Surdeanu Yi Zhang, Jeff Schneider, Artur Dubrawski. Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text NIPS 2008 [pdf]
Jun 9 Jenny Finkel Syntactic Topic Models NIPS 2008 [pdf]


NLP Reading Group Schedule — Winter 2009
Mondays at 2:30-4:00pm, Gates 200

Date Moderator Topic / Paper
Jan 26 Sebastian Pado O. Zaidan, J. Eisner Modelling Annotators: A Generative Approach to Learning from Annotator Rationales. EMNLP 2008. [pdf]
Feb 2 David Hall Kemp, C., & Tenenbaum, J. B. The discovery of structural form. Proceedings of the National Academy of Sciences. 105(31), 10687-10692. [pdf]
Feb 9 Marie-Catherine de Marneffe Ritter, Soderland, Downey, and Etzioni It's a Contradiction -- no, it's not: A Case Study using Functional Relations. EMNLP 2008. [pdf]
Feb 16 all ACL abstracts & more
Feb 23 Mihai Surdeanu Mustafa Bilgic and Lise Getoor Effective Label Acquisition for Collective Classification. KDD 2008 [pdf]
Mar 2 Nate Chambers Stanley Kok and Pedro Domingos Extracting Semantic Networks from Text Via Relational Clustering. ECML 2008 [pdf]
Mar 9 Yun-Hsuan Sung Gross, Russakovsky, Do, and Batzoglou Training Conditional Random Fields for Maximum Labelwise Accuracy. NIPS 2006 [pdf]
Mar 16 Val Spitkovsky David Smith and Jason Eisner Dependency Parsing by Belief Propagation. EMNLP 2008 [pdf]


NLP Reading Group Schedule — Autumn 2008
Mondays at 12:30-2:00pm, Gates 359

Date Moderator Topic / Paper
Sept. 29 Jenny Finkel Organizational Meeting
Oct 6 Jenny Finkel M.D. Escobar and M. West. Bayesian Density Estimation and Inference Using Mixtures. JASA 1995. [pdf]
Oct 13 Val Spitkovsky Yoav Seginer Fast Unsupervised Incremental Parsing. ACL 2007. [pdf]
Oct 20 David Hall Kemp, C., & Tenenbaum, J. B. The discovery of structural form. Proceedings of the National Academy of Sciences. 105(31), 10687-10692. [pdf]
Oct 27 -- No Meeting - Have fun at EMNLP!
Nov 3 Dan Ramage Perci Diaconis The MCMC Revolution [pdf]
Nov 10 Nate Chambers Stanley Kok and Pedro Domingos Extracting Semantic Networks from Text Via Relational Clustering ECML 2008 [pdf]
Nov 17 Ramesh Nallapati Mustafa Bilgic and Lise Getoor Effective Label Acquisition for Collective Classificatio KDD 2008 [pdf]
Nov 24 -- No Meeting - Happy Thanksgiving!
Dec 1 -- NAACL abstracts
Dec 8 Sebastian Pado Shane Bergsma, Dekang Lin and Randy Goebel Discriminative Learning of Selectional Preference from Unlabeled Text EMNLP 2008 [pdf]


NLP Reading Group Schedule — Summer 2008
Tuesdays at 12:15-1:45pm, Gates 260

Date Moderator Topic / Paper
Jun 23 Jenny Finkel Organizational Meeting
Jul 1 -- No Meeting - Good luck on EMNLP submissions
Jul 8 Jenny Finkel Benjamin Snyder and Regina Barzilay. Unsupervised Multilingual Learning for Morphological Segmentation. ACL 2008. [pdf]
Jul 15 Daniel Ramage Branavan, S.R.K., Harr Chen, Jacob Eisenstein and Regina Barzilay. Learning Document-Level Semantic Properties from Free-text Annotations. ACL 2008. [pdf]
Jul 22 Anna Rafferty Joakim Nivre and Ryan McDonald. Integrating Graph-Based and Transition-Based Dependency Parsers. ACL 2008. [pdf]
Jul 29 Mengqiu Wang Kuzman Ganchev, Joao Graca and Ben Taskar. Better Alignments = Better Translations? ACL 2008. [pdf]
Aug 5 Eric Yeh Statistical Machine Translation for Query Expansion in Answer Retrieval
Aug 12 David Hall Shiqi Zhao; Haifeng Wang; Ting Liu; Sheng Li. Pivot Approach for Extracting Paraphrase Patterns from Bilingual Corpora. ACL 2008. [pdf]
Aug 19 Ramesh Nallapati Approximate Inference using conditional entropy decomposition. [pdf]
Aug 26 Sebastian Pado Shane Bergsma; Dekang Lin; Randy Goebel. Distributional Identification of Non-Referential Pronouns. ACL 2008. [pdf]
Sep 2 David Hall Jason Wolfe, Aria Haghighi and Dan Klein. Fully Distributed EM for Very Large Datasets. ICML 2008. [pdf]
September 9 Jenny Finkel Mark Johnson, Thomas L. Griffiths, and Sharon Goldwater. Bayesian Inference for PCFGs via Markov Cain Monte Carlo. Proceedings of NAACL, 2007. [pdf]
September 16 Pi-chuan Chang Zhu, Xiaojin; Andrew B. Goldberg; Michael Rabbat; Robert Nowak Learning Bigrams from Unigrams [pdf]
September 23 Ramesh Nallapati Accurate max margin training for structured output spaces. [pdf]


NLP Reading Group Schedule — Spring 2008
Tuesdays at 1:00-2:30pm, Gates 159

Date Moderator Topic / Paper
Apr 15 Jenny Finkel Organizational Meeting
Apr 22 David Hall Li, Wei and McCallum, Andrew. Pachinko allocation: DAG-structured mixture models of topic correlations ICML 2006. [pdf]
Apr 29 Daniel Ramage Andrew McCallum, Chris Pal, Greg Druck, Xuerui Wang. Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification AAAI 2006. [pdf]
May 6 Anna Rafferty Coarse-to-fine parsing
May 13 Sebastian Pado Learning on the test data.
May 20 Jenny Finkel Scalable Models of Real Graphs
May 27 Pichuan Chang author-topic model (or community topic model)
Jun 2 Ramesh Nallapati Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller Max Margin classification of incomplete data. [long version] [short version]


NLP Reading Group Schedule — Winter 2008
Tuesdays at 2:30-4:00pm, Gates ???

Date Moderator Topic / Paper
Jan 15 Jenny Finkel Organizational Meeting
Jan 22 Jenny Finkel Kristina Toutanova and Mark Johnson. A Bayesian LDA-based model for semi-supervised part-of-speech tagging. NIPS 2007. [pdf]
Jan 29 Anna Rafferty John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman. Learning Bounds for Domain Adaptation. NIPS 2007 [pdf]
Feb 5 David Hall TBD David Blei topic models papers [pdf]
Feb 12 Nate Chambers Dan Shen and Mirella Lapata. Using Semantic Roles to Improve Question Answering. [pdf]
Michael Kaisser and Bonnie Webber. Question Answering based on Semantic Roles. [pdf]
Feb 19 Pi-Chuan Chang Stefan Riezler, Alexander Vasserman, Ioannis Tsochantaridis, Vibhu Mittal and Yi Liu. Statistical Machine Translation for Query Expansion in Answer Retrieval. [pdf]
Feb 26 Bill MacCartney Wong and Mooney. Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus. ACL 2007. [pdf]
Mar 4 Jenny Finkel Pascal Denis and Jason Baldridge. Global, Joint Determination of Anaphoricity and Coreference Resolution using Integer Programming. NAACL 2007. [pdf]
Mar 11 --== No Meeting ==--
Mar 18 Pichuan Chang & Michel Galley TBD MT paper [pdf]


NLP Reading Group Schedule — Spring 2006-2007
Wednesdays at 1:30-3:00pm, Gates 359

Date Moderator Topic / Paper
Apr 18 Jenny Finkel Organizational Meeting
Apr 25 Rion Snow Daniel Gildea and Daniel Jurafsky. Automatic Labeling of Semantic Roles. ACL 2000. [pdf]
May 2 Dan Ramage McCarthy, D., Koeling, R., Weeds, J. and Carroll, J. Finding predominant word senses in untagged text. ACL 2004. [pdf]
May 9 Bill MacCartney P. Blackburn and J. Bos. Computational Semantics. Theoria 18 [pdf]
May 16 Nate Chambers Mann, W. C. and S. A. Thompson. Rhetorical Structure Theory: Toward a Functional Theory of Text Organization. [pdf]
May 23 Pi-Chuan Chang Jerry R. Hobbs, Mark Stickel, Paul Martin and Douglas Edwards. Interpretation as Abduction. ACL 1988 [pdf]
May 30 Yun-Hsuan Sung Fei Sha and Lawrence K. Saul. Large margin hidden Markov models for automatic speech recognition. NIPS 2007. [pdf]
Jun 6 Jenny Finkel Rie K. Ando and Tong Zhang. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data. JMLR 2005. [pdf]


NLP Reading Group Schedule — Winter 2006-2007
Wednesdays at 1:30-3:00pm, Gates 459

Date Moderator Topic / Paper
Jan 24 Jenny Finkel Organizational Meeting
Jan 31 Jenny Finkel John Blitzer, Ryan McDonald, and Fernando Pereira. Domain Adaptation with Structural Correspondence Learning. EMNLP 2006. [pdf]
Feb 7 Pi-Chuan David Chiang. A Hierarchical Phrase-Based Model for Statistical Machine Translation. ACl 2005. [pdf]
Feb 14 Dan Cer P Liang, A Bouchard-Cote, D Klein, B Taskar. An End-to-End Discriminative Approach to Machine Translation. ACL 2006. [pdf.
Feb 21 Sharon Ellison, M. and Kirby, S. Measuring Language Divergence by Intra-lexical Comparison. ACL 2006. [pdf]
Feb 28 Chris Slav Petrov, Leon Barrett, Romain Thibaux and Dan Klein. Learning Accurate, Compact, and Interpretable Tree Annotation. ACL 2006. [pdf]
Mar 7 Bill S Harabagiu, A Hickl. Methods for Using Textual Entailment in Open-Domain Question Answering. ACL 2006. [pdf]
Mar 14 Alex NN Schraudolph. Local Gain Adaptation in Stochastic Gradient Descent. Artificial Neural Nets 1999. [pdf]
Mar 21 Dan R. E Gabrilovich, S Markovitch, Text Categorization with Many Redundant Features: Using Aggressive Feature Selection to Make SVMs Competitive with C4.5. ICML 2004 [pdf]


NLP Reading Group Schedule — Autumn 2006
Mondays at 2:00-3:30pm, Gates 459

Date Moderator Topic / Paper
Sept. 25 Jenny Finkel Organizational Meeting
Oct 2 William Morgan David J. Hand. Classifier Technology and the Illusion of Progress. Statistical Science, 2006. [pdf]
Leo Breiman. Statistical Modeling: The Two Cultures. Statistical Science, 2001. [pdf]
Oct 9 Surabhi Hal Daume III and Daniel Marcu. Bayseian Query-Focused Summarization. ACL 2006. [pdf]
Oct 16 Dan Ramage Mochihashi and Matsumoto. Context as Filtering. NIPS 2005. [pdf]
Oct 23 Jenny Aria Haghighi and Dan Klein. Prototype-driven Learning for Sequence Models. NAACL 2006. [pdf]
Oct 30 Sebastian Ioannis Tsochantaridis, et al. Support Vector Machine Learning for Interdependent and Structured Output Spaces. ICML 2004. [pdf]
Nov 6 Dan Cer Vishwanathan et al. Accelerated training of CRFs with stochastic gradient methods. ICML 2006. [pdf]
Nov 13 Jeff Li and Yang. Loss function analysis for classification methods in text categorization. ICML 2003. [pdf]
Nov 27 Teg Galen Andrew. Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation. EMNLP 2006. [pdf]
Dec 4 Dan Cer Hal Daume III and Daniel Marcu. Learning as Search Optimization. ICML 2005. [pdf]
Dec 11 John Hale Eric Villemonte de la Clergerie. Parsing Mildly Context Sensitive Languages with Thread Automata. Coling 2002. [pdf]


NLP Reading Group Schedule — Winter 2006
Mondays at 4:15-5:45pm, Gates 359

Date Moderator Topic / Paper
Jan 23 Jenny Finkel Organizational Meeting
Jan 30 William Morgan Franz Josef Och. Minimum Error Rate Training for Statistical Machine Translation ACL 2003. [pdf]
Feb 6 Dan Ramage M. Narasimhan, N. Jojic, and J. Bilmes. Q-Clustering NIPS 2005. [pdf]
Feb 13 Chris Manning S. Reynolds and J. Bilmes. Part-of-Speech Tagging with Virtual Evidence and Negative Training HLT 2005. [pdf]
Feb 20 Rajat Raina Structured Prediction Via the Extragradient Method/M3NS
Feb 27 -- NO MEETING - Good Luck with ACL submissions!
Mar 6 Bill MacCartney Rodrigo de Salvo Braz, Eyal Amir, and Dan Roth Lifted First-Order Probabilistic Inference IJCAI 2005 [pdf]
Mar 13 Teg Grenager S. Goldwater, T. Griffiths, and M. Johnson Interpolating Between Types and Tokens by Estimating Power-Law Generators NIPS 2005 [pdf]
Mar 20 Jenny Finkel Latent Head Models For Parsing


NLP Reading Group Schedule — Fall 2005
Mondays at 10:45pm, Gates 400

Date Moderator Topic / Paper
Oct 3 Jenny Finkel Organizational Meeting
Oct 10 Teg Andrew McCallum, Kedar Bellare and Fernando Pereira. A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance. Conference on Uncertainty in AI (UAI), 2005. [pdf]
Oct 17 Pi-Chuan Noah A. Smith and Jason Eisner. Contrastive Estimation: Training Log-Linear Models on Unlabeled Data. Proceedings of the Association for Computational Linguistics (ACL 2005), Ann Arbor, Michigan. [pdf]
Oct 24 Teg Ryan McDonald, Koby Crammer and Fernando Pereira. Online Large-Margin Training of Dependency Parsers. 43rd Annual Meeting of the Association for Computational Linguistics, 2005. Ann Arbor, Michigan. [pdf][longer version]
Oct 31 Jenny Mark A. Paskin. Maximum Entropy Probabilistic Logic. Technical Report UCB/CSD-01-1161, University of California, Berkeley. [pdf]
Nov 7 Rion Brian Milch, Bhaskara Marthi, and Stuart Russell. BLOG: Relational Modeling with Unknown Objects. Proc. ICML-04 Workshop on Statistical Relational Learning. [pdf]
Nov 14 Jenny B. Taskar, V. Chatalbashev and D. Koller. Learning Associative Markov Networks. Twenty First International Conference on Machine Learning (ICML04), Banff, Canada, July 2004. [ps]
Nov 21 -- NO MEETING - Happy Thanksgiving!
Nov 28 Bill Luke S. Zettlemoyer and Michael Collins. Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars. In Proceedings of the Twenty First Conference on Uncertainty in Artificial Intelligence (UAI-05), 2005. [pdf]
Dec 5 Rajat Sheila M. Reynolds and Jeff A. Bilmes Part-of-Speech Tagging using Virtual Evidence and Negative Training. Human Language Technology (HLT) Conference/ Conference on Empirical Methods in Natural Language Processing , Vancouver, B.C., Canada. Oct, 2005 [pdf]


NLP Reading Group Schedule — Spring 2005
Fridays at 12:45pm, Gates 400

Date Moderator Topic / Paper
Apr 22 Jenny Finkel Organizational Meeting
Apr 29 Jenny Finkel Relational Markov Networks
B. Taskar, P. Abbeel and D. Koller. Discriminative Probabilistic Models for Relational Data. Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI02), Edmonton, Canada, August 2002. [pdf] [ps]
May 6 Rion Snow Inductive Logic Programming
Mary Elaine Califf and Raymond J. Mooney Relational Learning of Pattern-Match Rules for Information Extraction Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99), Orlando, FL, pp. 328-334, July 1999. [pdf]
--
Fabio Ciravegna. Adaptive Information Extraction from Text by Rule Induction and Generalisation in Proceedings of 17th International Joint Conference on Artificial Intelligence (IJCAI 2001), Seattle, August 2001. [pdf]
--
optional longer versions:
Mary Elaine Califf and Raymond J. Mooney Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction Journal of Machine Learning Research, 4, (2003), pp. 177-210. [pdf]
--
Fabio Ciravegna. (LP)2, an Adaptive Algorithm for Information Extraction from Web-related Texts in Proceedings of the IJCAI-2001 Workshop on Adaptive Text Extraction and Mining, Seattle, August, 2001 [pdf]
May 13 Aria Haghighi SVMs
May 20 Aria Haghighi Maximum Margin Markov Networks
B. Taskar, C. Guestrin and D. Koller. Max-Margin Markov Networks. Neural Information Processing Systems Conference (NIPS03), Vancouver, Canada, December 2003. [ps]
May 27 Rajat Raina Latent Dirichlet Allocation
David Blei, Andrew Y. Ng, and Michael Jordan. Latent Dirichlet Allocation. In NIPS 14, 2002. [ps] [pdf]
--
optional longer version:
David Blei, Andrew Y. Ng and Michael Jordan. Latent Dirichlet Allocation. Journal of Machine Learning Research, 3:993-1022, 2003. [ps] [pdf]
Jun 3 Marie-Catherine de Marneffe Integrating Topics and Syntax
T. Griffiths, M. Steyvers, D. Blei, and J. Tenenbaum. Integrating topics and syntax. Advances in Neural Information Processing Systems (NIPS) 17, 2004. [pdf]
Jun 10 Chris Cox Rule Learning