概要 †

談話に関する論文の紹介，議論，進捗報告を行う

2011年度 †

日時

毎週木曜日 17:00-

主な参加者

乾 (元帥)，Eric (中佐)，井之上 (大佐)，杉浦 (大尉)，山本 (中尉)，隊員募集中

キーワード

物語理解 (story understanding)，プラン (plan)，修辞構造 (rhetorical structure)，照応 (anaphora)，省略 (ellipsis, zero anaphora)

予定・記録 †

• 3/8 (木) 15:00-
  • 井之上: 発表練習 (🔒内部資料)
  • 杉浦: 発表練習（🔒内部資料）

• 3/1 (木) 16:30-
  • 山本: 進捗報告 (🔒内部資料)
  • 杉浦: 進捗報告 (サブ) (🔒内部資料)

• 2/16 (木) 16:30-
  • 橋本: 発表練習 (🔒内部資料)
  • 井之上: 研究相談 (🔒内部資料)

• 2/9 (木) 17:00-
  • 井之上: 進捗報告 (🔒内部資料)
  • 杉浦: 進捗報告

• 2/2 (木) 17:00-
  • 井之上: 今後の方針相談 (🔒内部資料)
  • 杉浦: 今後の方針相談（🔒内部資料）

• 1/26 (木) 17:00-
  • 井之上: 進捗報告 (🔒内部資料)
  • 杉浦: 進捗報告

• 1/19 (木) 17:00-
  • 井之上: 進捗報告 (🔒内部資料)
  • 杉浦: 進捗報告(🔒内部資料)

• 1/5 (木) 17:00-
  • 井之上: 論文進捗報告 (🔒内部資料)
  • 杉浦: 進捗報告

• 12/15 (木) 10:30-
  • 杉浦: 進捗報告(🔒内部資料)(🔒Text)

• 12/8 (木) 10:30-
  • 杉浦: 進捗報告 相談会 (🔒内部資料)(🔒Text)(🔒excel)

• 12/1 (木) 10:30-
  • 水野: 論文紹介
    • Marie-Catherine de Marneffe, Anna R. Rafferty and Christopher D. Manning. "Identifying conflicting information in texts." In Joseph Olive, Caitlin Christianson and John McCary (Eds.), Handbook of Natural Language Processing and Machine Translation: DARPA Global Autonomous Language Exploitation, Springer, New York, NY. 🔒内部資料

• 11/24 (木) 10:30-
  • 杉浦: 進捗報告(🔒内部資料)
  • 井之上: 進捗報告
    • Learning Reliability of Axiom Sets in Weighted Abduction (🔒内部資料)

• 11/17 (木) 10:30-
  • 井之上: 論文紹介
    • Asher Stern and Ido Dagan. A Confidence Model for Syntactically-Motivated Entailment Proofs. RANLP2011. (論文, 🔒内部資料)

• 11/10 (木) 10:30-
  • 井之上: 進捗報告
    • ILP-based Reasoning の証明に向けて (🔒内部資料)
  • 杉浦: 現状整理＆進捗報告(🔒内部資料)

• 11/04 (金) 10:30- プチ報告会
  • 井之上 (🔒メモ)，杉浦

• 10/27 (木) 10:30-
  • 井之上: 論文紹介
    • Dan Garrette, Katrin Erk and Raymond Mooney. Integrating Logical Representations with Probabilistic Information using Markov Logic. IWCS2011. (🔒内部資料)
  • 杉浦: 論文紹介
    • Quang Xuan Do Yee Seng Chan Dan Roth Minimally Supervised Event Causality Identification. ACL2011. (🔒内部資料)

• 10/13 (木) 10:00-
  • 杉浦: 進捗報告とこれからのプランニング(🔒内部資料)
  • 井之上: 2分間進捗報告 (🔒内部資料)

• 9/13 (火) 17:00-
  • 井之上: 発表練習
    • Naoya Inoue and Kentaro Inui. An ILP Formulation of Abductive Inference for Discourse Interpretation. To appear in IPSJ SIG Technical Reports, Vol. 2011-NL-203, 2011. (論文，🔒内部資料)
  • 井之上: 進捗報告

• 9/9 (金) 19:00-
  • 杉浦: 進捗報告
  • 井之上: 進捗報告 (🔒内部資料)

• 8/2 (火) 17:00-
  • Eric: 論文紹介
    • Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr, Tom M. Mitchell. Coupled Semi-Supervised Learning for Information Extraction (🔒内部資料1 🔒内部資料2)

• 7/19 (火) 17:00-
  • 杉浦: 進捗報告
    • 英語試験問題を解こうとしてみる(🔒内部資料)

• 7/12 (火) 17:00-
  • 井之上: 進捗報告
    • 重み付きアブダクション高速化手法における否定の実装と確率的解釈のまとめ (🔒スライド, 🔒確率的解釈のメモ)

• 7/5 (火) 17:00-
  • 杉浦: 進捗報告(🔒内部資料)

• 6/28 (火) 17:00-
  • Eric: 論文紹介
    • Anselmo Peñas and Eduard Hovy. Filling Knowledge Gaps in Text for Machine Reading. (🔒PPT 🔒PDF1 🔒PDF2)

• 6/14 (火) 17:00-
  • 井之上：進捗報告
    • 重み付きアブダクションとMAP 推定 (🔒内部資料)

• 6/7 (火) 17:00-
  • 杉浦：進捗報告 🔒内部資料

• 5/31 (火) 16:30-
  • 杉浦：進捗報告（センター試験をAbductionで解く）🔒内部資料

• 5/24 (火) 17:00-
  • 井之上：論文紹介 Implementing Weighted Abduction in Markov Logic (Blythe et al. 2011)* 🔒内部資料

• 5/17 (火) 17:00-
  • 杉浦：論文紹介 Interpretation as Abduction (Hobbs et al. 1993)* 🔒内部資料

• 5/10 (火) 18:00-
  • 井之上：仮説推論における仮説の良さの評価に関する調査 (1) 🔒内部資料
  • 杉浦：卒論後の進捗報告（implicitな関係の推論）🔒内部資料

• 5/2 (月) 15:00-
  • Weighted Abduction (Hobbs et al. 93) の確率的解釈について
  • 今後の研究方針の相談

• 4/18 (月) 10:00-12:00
  • 杉浦：卒論進捗報告 🔒論文：🔒内部資料
  • 井之上: 執筆中論文の現状報告 🔒内部資料

• 4/13 (水) 9:00-11:00
  • 杉浦：卒論進捗報告 🔒論文：🔒内部資料
  • 井之上：整数線形計画法による重み付きアブダクションの高速化手法の説明草案 🔒内部資料

• 4/8（金）13:00-16:00
  • 杉浦：卒論進捗報告 🔒内部資料
  • 井之上：論文投稿に向けて 🔒内部資料

• 2010 年度

参考リンク †

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 †

• 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

Tools †

• Mini-TACITUS
• PRISM
• enju
• C&C tools

Misc. †

• University of Texas at Austin Machine Learning Group: Publications