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