FrontPage / SIG Discourse / 2015
Special Interest Group on Discourse (SIG Discourse) discusses interesting findings of past/state-of-the-art researches. We also report and discuss research progress of our member. Typically, we read one paper (30 minutes) and discuss research progress of one person (40 minutes) at a time. The schedule is listed below.
- Date
- 前期: Wednesday 16:30-18:00 後期: Monday 14:40-16:10
- Member
- 乾，岡﨑，井之上，杉浦，山本，Paul，大野，小林，横井，高橋，佐藤
- Related Keywords
- 人工知能/Artificial Intelligence，物語理解/Story Understanding，プラン/Plan，修辞構造/Rhetorical Structure，照応/Anaphora，省略/Ellipsis，ゼロ照応/Zero Anaphora
Schedule †
- 3/15 (Tue): 14:40-
- 2/23 (Tue): 14:40-
- 2/16 (Tue): 14:40-
- 2/9 (Tue): 14:40-
- Paper Reading (横井)
- Luke Vilnis, Andrew McCallum. Word Representations via Gaussian Embeddings (ICLR 2015)
- paper, 著者によるslide, 🔒内部資料
- Paper Reading (佐藤)
- Paper Reading (横井)
- 2/2 (Tue): 14:40-
- 1/26 (Tue): 14:40-
- 1/5 (Tue): 14:40-
- 12/22 (Tue): 14:40-
- Progress report (小林)
- How do neural networks read articles? 内部資料
- 参考: Teaching Machines to Read and Comprehend, Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom, NIPS 2015
- 参考: The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations, Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston, under review of ICLR 2016
- Progress report (小林)
- 12/8 (Tue): 14:40-
- 12/1 (Tue): 14:40-
- Paper reading (横井)
- Regina Barzilay and Mirella Lapata. “Modeling Local Coherence: An Entity-based Approach.” ACL 2005, Computational Linguistics 2008
- paper (ACL 2005), paper (CompLing 2008)
- 🔒resume, 🔒annotated-slides (the original version is made by the second author)
- 緊急特番: 課題共有 (井之上)
- Web から直接獲得するのは難しいであろう抽象的な知識/善悪に関する知識の整備 (🔒内部資料)
- Paper reading (横井)
- 11/24 (Tue): 14:40-
- Progress report (Paul) 🔒内部資料
- 11/17 (Tue): 14:40-
- 11/10 (Tue): 14:40-
- 10/27 (Tue): 14:40-
- 10/20 (Tue): 14:40-
- Paper reading (横井)
- Paper reading (小林)
- 10/13 (Tue): 14:40-
- 大野
- 🔒内部資料
- 大野
- 8/5 (Wed): 夏休み特別会 / 14:30-
- Progress report (Martin)
- 🔒内部資料
- Progress report (Martin)
- 7/22 (Wed)
- Progress report (井之上)
- 🔒内部資料
- Progress report (井之上)
- 7/8 (Wed)
- 7/1 (Wed)
- 6/24 (Wed)
- 6/17 (Wed)
- Progress report (周) 🔒内部資料
- 6/10 (Wed)
- 6/3 (Wed)
- 休会: 🔒関根さんの talk
- 5/27 (Wed)
Progress ReportPaper Reading (井之上)- Haoruo Peng, Daniel Khashab and Dan Roth. Solving Hard Coreference Problems. NAACL2015.
- 🔒slides 🔒paper (annotated)
- Paper Reading (折田)
- 5/20 (Wed)
- 5/13 (Wed)
- 5/6 (Wed)
- 振替休日
- 4/29 (Wed)
- 昭和の日
- 4/22 (Wed)
- 4/15 (Wed)
- 4/8 (Wed)
- Spring 2014-Winter 2015
- Spring 2013-Winter 2014
- Spring 2012-Winter 2013
- Spring 2011-Winter 2012
- Spring 2010-Winter 2011
Assignment †
| G1 | G2 | G3 | G4 | G5 | G6 | G7 | G8 | |
| Progress report | 井之上 | 杉浦 | 山本 | 横井 | Paul | 大野 | 小林 | 高橋 |
| Paper reading | Paul | 大野 | 小林 | 高橋 | 井之上 | 杉浦 | 山本 | 横井 |
Links †
Artificial Intelligence †
- Levesque, Hector J. "On our best behaviour." The 23rd International Joint Conference on Artificial Intelligence (IJCAI). August. 2013. pdf
- Rahman, Altaf, and Vincent Ng. "Resolving complex cases of definite pronouns: the winograd schema challenge." Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. Association for Computational Linguistics, 2012. pdf dataset dataset 2
- Roemmele, Melissa, Cosmin Adrian Bejan, and Andrew S. Gordon. "Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning." AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning. 2011. pdf dataset
- Levesque, Hector J., Ernest Davis, and Leora Morgenstern. "The Winograd schema challenge." AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning. 2011. pdf
- Jerry R. Hobbs, Mark Stickel, Douglas Appelt, and Paul Martin. Interpretation as Abduction, Artificial Intelligence, 1993. pdf
Logical Inference †
- Mohammad Shahed Sorower, Thomas G. Dietterich, Janardhan Rao Doppa Walker Orr, Prasad Tadepalli, and Xiaoli Fern. Inverting Grice’s Maxims to Learn Rules from Natural Language Extractions. NIPS 2011. pdf
- Ekaterina Ovchinnikova, Niloofar Montazeri, Theodore Alexandrov, Jerry R. Hobbs, Michael C. McCord and Rutu Mulkar-Mehta. Abductive Reasoning with a Large Knowledge Base for Discourse Processing. IWCS 2011. pdf
- James Blythe, Jerry R. Hobbs, Pedro Domingos, Rohit J. Kate and Raymond J. Mooney. Implementing Weighted Abduction in Markov Logic. IWCS2011. pdf
- Dan Garrette, Katrin Erk, Raymond Mooney. Integrating Logical Representations with Probabilistic Information using Markov Logic. IWCS2011. pdf
- Sindhu V. Raghavan, Raymond J. Mooney. Bayesian Abductive Logic Programs. AAAI 2010. pdf
- RohitJ. Kate RaymondJ. Mooney. Probabilistic Abduction using Markov Logic Networks. IJCAI 2009 on PAIR 2009. pdf
- Jerry R. Hobbs, Mark Stickel, Douglas Appelt, and Paul Martin. Interpretation as Abduction, Artificial Intelligence, 1993. pdf
- J. Bos (2009): Applying automated deduction to natural language understanding. Journal of Applied Logic 7(1): 100–112. pdf
- A Unified Approach to Abductive Inference (ARO 2008 MURI Project@University of Washington)
Discourse Theory †
- Rhetorical Structure Theory
- Discourse Representation Theory
- J. Bos, M. Nissim (2008): Combining Discourse Representation Theory with FrameNet. In: R. Rossini Favretti (ed): Frames, Corpora, and Knowledge Representation, pp 169–183, Bononia University Press. pdf
- Dan Cristea, Nancy Ide and Laurent Romary. Veins Theory: A Model of Global Discourse Cohesion and Coherence. ACL 1998. pdf
- Barbara J. Grosz, Aravind K. Joshi and Scott Weinstein. Centering: A Framework for Modeling the Local Coherence of Discourse. Computational Linguistics, 1995. pdf
- Barbara J. Grosz and Candace L. Sidner. ATTENTION, INTENTIONS, AND THE STRUCTURE OF DISCOURSE. Computational Linguistics, 1986. pdf
- Bonnie Webber. Accounting for Discourse Relations: Constituency and Dependency. Intelligent Linguistic Architectures, 2006. pdf
- Florian Wolf, Edward Gibson. Representing Discourse Coherence: A Corpus-Based Study. Computational Linguistics, 2005.
- Bonnie Webber, Matthew Stone, Aravind Joshi and Alistair Knott. Anaphora and Discourse Structure. Computational Linguistics, 2003. pdf
- Daniel Marcu. A Formal and Computational Synthesis of Grosz and Sidner's and Mann and Thompson's theories. 1999. pdf
- Erhard Hinrichs. Discourse Annotation of Corpora. pdf
- Johanna D. Moore and Martha E. Pollack. A Problem for RST: The Need for Multi-Level Discourse Analysis. Computational Linguistics, 1992. pdf
Discourse Parsing †
- Alexis Palmer, Afra Alishahi and Caroline Sporleder. Robust Semantic Analysis for Unseen Data in FrameNet. RANLP2011. pdf
- Michaela Regneri, Alexander Koller, Josef Ruppenhofer and Manfred Pinkal. Learning Script Participants from Unlabeled Data. RANLP2011. pdf
- Manfred Klenner and Don Tuggener. An Incremental Entity-Mention Model for Coreference Resolution with Restrictive Antecedent Accessibility. RANLP2011. pdf
- Ziheng Lin, Hwee Tou Ng and Min-Yen Kan. Automatically Evaluating Text Coherence Using Discourse Relation. ACL 2011. pdf
- Ziheng Lin, Hwee Tou Ng, and Min-Yen Kan. A PDTB-Styled End-to-End Discourse Parser. 2010. pdf
- Annie Louis, Rashmi Prasad, Aravind Joshi and Ani Nenkova. Using Entity Features to Classify Implicit Discourse Relations. SIGDIAL 2010. pdf
- Aria Haghighi and Dan Klein. Coreference Resolution in a Modular, Entity-Centered Model. NAACL-HLT 2010. pdf
- Emily Pitler, Annie Louis and Ani Nenkova. Automatic sense prediction for implicit discourse relations in text. ACL-IJCNLP 2009. pdf
- Rajen Subba and Barbara Di Eugenio. An effective Discourse Parser that uses Rich Linguistic Information. NAACL-HLT 2009. pdf
- Ravikiran Vadlapudi, Poornima Malepati and Suman Yelati. Hierarchical Discourse Parsing Based on Similarity Metrics. RANLP 2009. pdf
- Manfred Klenner, Étienne Ailloud. Optimization in Coreference Resolution is not Needed: A Nearly-Optimal Algorithm with Intensional Constraints. EACL 2009. pdf
- Jason Baldridge and Alex Lascarides. Probabilistic Head-Driven Parsing for Discourse Structure. CoNLL 2005. pdf
- Daniel Marcu and Abdessamad Echihabi. An Unsupervised Approach to Recognizing Discourse Relations. ACL 2002. pdf
Plan Recognition †
- Parag Singla and Raymond J. Mooney. Abductive Markov Logic for Plan Recognition. AAAI2011. pp 1069-1075. pdf
- Nate Blaylock and James Allen. Hierarchical Instantiated Goal Recognition. MOO2006. pdf
- Nate Blaylock and James Allen. Fast Hierarchical Goal Schema Recognition. AAAI2006. pdf
- Douglas E. Appelt and Martha E. Pollack. Weighted Abduction for Plan Ascription. Technical Note 491, SRI International, 1992. pdf
- Sandra Carberry. Techniques for Plan Recognition. User Modeling and User-Adapted Interaction, 11(1-2), pp. 31-48, 2001. pdf
Corpus †
- Penn Discourse Treebank
- RST Discourse Treebank
- Discourse Graphbank: paper LDC
- SDRT annotations of dialogues: DISCOR project
Knowledge Acquisition †
- Doo Soon Kim and Bruce Poter. Integrating declarative knowledge : Issues, Algorithms and Future Work. AAAI2008. pdf
- Jonathan Berant, Tel Aviv and Jacob Goldberger. Global Learning of Typed Entailment Rules. ACL2011. (to appear) pdf
- Stefan Schoenmackers, Jesse Davis, Oren Etzioni and Daniel Weld. Learning First-Order Horn Clauses from Web Text. EMNLP2010. pdf
- Nathanael Chambers and Dan Jurafsky. Unsupervised Learning of Narrative Schemas and their Participants. ACL2010. pdf
Lectures †
- University of Southern California: Introduction to NLP, Empirical Methods in Natural Language Processing
- MIT: Computational Models of Discourse
- Tohoku University: http://www.is.tohoku.ac.jp/_eng/introduction/laboratories/sis/iis_cs.html
- Story Understanding Resources
- David Poole and Alan Mackworth. Artificial Intelligence: Foundations of Computational Agents
Tools †
Misc. †
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