Machine Reading

This Fall, 590a will be on "Machine Reading" - the process of extracting high-level knowledge from natural language text, for example from Web pages. Most people know about the work on machine reading which is happening here at UW CSE (e.g. KnowItAll, TextRunner, Kylin, and the work based on Markov Logic Networks), but the area is also heating up dramatically at other Universities and research labs. We'll spend the quarter reading the latest papers on the topic and brainstorming about new directions. Participants may be asked to help lead class discussion of papers or to talk about their ongoing research on the topic.

Mailing List

We will not use the cse590a mailing list. Instead, announcements about the seminar will go to uw-ai. If you do not already subscribe to uw-ai, then join by sending mail to uw-ai-request@cs.washington.edu, with the line "subscribe listname" in the body of the message. You are welcome to discuss the presentations on the mailing list.

Calendar

A (Partial) List of papers

• Stanford
  • A Global Joint Model for Semantic Role Labeling. Computational Linguistics34(2): 161-191 (Special Issue on Semantic Role Labeling). Kristina Toutanova, Aria Haghighi, and Christopher D. Manning. 2008.
  • Unsupervised Discovery of a Statistical Verb Lexicon. Trond Grenager and Christopher D. Manning. EMNLP2006
  • Bill MacCartney and Christopher D. Manning. 2008. Modeling semantic containment and exclusion in natural language inference. The 22nd International Conference on Computational Linguistics (Coling 2008), Manchester, UK, August 2008. [Received Springer Best Paper Award.]
  • Rajesh Ranganath, Dan Jurafsky, and Dan McFarland. 2009. It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates. In Proceedings of EMNLP 2009.
  • Marie-Catherine de Marneffe, Sebastian Pado, and Christopher D. Manning. 2009. Multi-word expressions in textual inference: Much ado about nothing? In Proceedings of the ACL/IJCNLP 2009 Workshop on Applied Textual Inference.
  • Nathanael Chambers and Dan Jurafsky. 2009. Unsupervised Learning of Narrative Schemas and their Participants. In ACL.
  • Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009. Distant supervision for relation extraction without labeled data. In Proceedings of ACL-IJCNLP 2009.
  • Jenny Rose Finkel and Christopher D. Manning. 2009. Hierarchical Bayesian Domain Adaptation. In Proceedings of the North American Association of Computational Linguistics (NAACL 2009).
  • Jenny Rose Finkel and Christopher D. Manning. 2009. Joint Parsing and Named Entity Recognition. In Proceedings of the North American Association of Computational Linguistics (NAACL 2009).
  • Bill MacCartney and Christopher D. Manning. 2009. An extended model of natural logic. In Proceedings of the Eighth International Conference on Computational Semantics (IWCS-8).
• MIT
  • Luke Zettlemoyer and Michael Collins. Learning Context-Dependent Mappings from Sentences to Logical Form. To appear in proceedings of ACL 2009.
• UIUC
  • D. Roth, M. Sammons, and V. Vydiswaran, A Framework for Entailed Relation Recognition. Proc. of the Annual Meeting of the ACL (2009)
  • J. Eisenstein, J. Clarke, D. Goldwasser, and D. Roth, Reading to Learn: Constructing Features from Semantic Abstracts. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2009) (2009)
• UMass
  • An Entity Based Model for Coreference Resolution. Michael Wick, Aron Culotta, Khashayar Rohanimanesh, Andrew McCallum. Proceedings of the SIAM International Conference on Data Mining (SDM), Reno, Nevada, 2009
  • Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment. Kedar Bellare and Andrew McCallum. Proceedings of Empirical Methods in Natural Language Processing 2009, Singapore, 2009
  • Polylingual Topic Models. David Mimno, Hanna Wallach, Jason Naradowsky, David Smith and Andrew McCallum. Proceedings of the Empirical Methods in Natural Language Processing, Singapore, 2009.
  • Active Learning by Labeling Features. Gregory Druck, Burr Settles, Andrew McCallum. Proceedings of the Empirical Methods in Natural Language Processing .
  • Jointly Identifying Temporal Relations with Markov Logic, Katsumasa Yoshikawa, Sebastian Riedel, Masayuki Asahara and Yuji Matsumoto, ACL 2009, 2009
  • Jointly Identifying Predicates, Arguments and Senses using Markov Logic, Ivan Meza-Ruiz and Sebastian Riedel, NAACL-HLT 2009, 2009
• CMU
  • "Coupling Semi-Supervised Learning of Categories and Relations", A. Carlson, J. Betteridge, E. R. Hruschka Jr. and T. M. Mitchell, Proceedings of the NAACL HLT 2009 Workshop on Semi-supervised Learning for Natural Language Processing, 2009.
• UTexas
  • Learning a Compositional Semantic Parser using an Existing Syntactic Parser. Ruifang Ge and Raymond J. Mooney. ACL 09.
  • Fan, Barker & Porter (2009). "Automatic interpretation of loosely encoded input". Artificial Intelligence 173(2).
• UW
  • Unsupervised Semantic Parsing. Hoifung Poon and Pedro Domingos. Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, (EMNLP-09). Best Paper Award
• • "Web-Scale Named Entity Recognition" ,Casey Whitelaw, Alex Kehlenbeck, Nemanja Petrovic, Lyle Ungar, CIKM2008
  • Data integration with uncertainty, VLDB Journal 2008. Anish Das Sarma, Xin Dong, Alon Halevy
  • ISP: Learning Inferential Selectional Preferences Patrick Pantel, Rahul Bhagat, Bonaventura Coppola, Timothy Chklovski, Eduard Hovy. NAACL 07.
  • Learning Entailment Rules for Unary Templates .Szpektor and Dagan. COLING 08.
  • Benjamin Van Durme and Lenhart K. Schubert. Open knowledge extraction using compositional language processing, Symposium on Semantics in Systems for Text Processing (STEP 2008).
  • L.K. Schubert, "Can we derive general world knowledge from texts?" Proc. of the 2nd Int. Conf. on Human Language Technology Research (HLT 2002)
  • Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk. Chris Callison-Burch. EMNLP 2009.
  • Learning Semantic Correspondences with Less Supervision. Percy Liang, Michael I. Jordan, Dan Klein. ACL 2009.
  • Reinforcement Learning for Mapping Instructions to Actions. S.R.K. Branavan, Harr Chen, Luke S. Zettlemoyer, Regina Barzilay. ACL 2009