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

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 Oriol Vinyal Invited talk. Title: Recurrent Neural Nets as Language Decoders.
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 — Winter 2013
Wednesday 12:30-2:00pm, Gates 159 (usually)

Schedule on Google Drive. Email nlp-reading-group@lists.stanford.edu if you need permission.


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