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.

前期: Wednesday 16:30-18:00 後期: Monday 14:40-16:10
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


  • 3/15 (Tue): 14:40-
    • Progress Report (高橋): 🔒内部資料
    • Paper Reading (山本)
      • A Bayesian Model of Diachronic Meaning Change, Lea Frermann and Mirella Lapata, TACL 2016
      • 論文, 🔒内部資料
  • 2/23 (Tue): 14:40-
    • Paper Reading (井之上)
      • Kelvin Guu, John Miller, and Percy Liang. Traversing Knowledge Graphs in Vector Space. EMNLP2015. pdf, 著者 slides
  • 2/16 (Tue): 14:40-
    • Progress Report (Paul)
    • Progress Report (高橋)
      • 「交通オントロジーと説明生成に基づく交通危険予測」進捗報告 🔒内部資料
  • 2/9 (Tue): 14:40-
    • Paper Reading (横井)
    • Paper Reading (佐藤)
      • Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking. Tsung-Hsien Wen, SIGDIAL 2015
      • paper, 🔒内部資料
  • 2/2 (Tue): 14:40-
    • Progress Report (井之上): 🔒内部資料
    • Paper Reading (大野)
      • Lexical Event Ordering with an Edge-Factored Model. Omri Abend, Shay Cohen and Mark Steedman. NAACL 2015
      • 🔒paper, 🔒内部資料
  • 1/26 (Tue): 14:40-
    • Progress Report (杉浦) 🔒内部資料
    • Paper Reading (小林)
      • Learning statistical scripts with LSTM recurrent neural networks. Karl Pichotta and Raymond J. Mooney. AAAI 2016, to appear.
      • paper, 🔒内部資料
  • 1/5 (Tue): 14:40-
    • Paper Reading (高橋)
      • R. Regele, “Using Ontology-Based Traffic Models for More Efficient Decision Making of Autonomous Vehicles,” in Fourth International Conference on Autonomic and Autonomous Systems (ICAS’08), 2008, pp. 94–99.
      • paper,🔒内部資料
  • 12/8 (Tue): 14:40-
    • Paper reading (井之上)
      • Omid Bakhshandeh; James Allen. Semantic Framework for Comparison Structures in Natural Language. EMNLP2015. 🔒paper 🔒内部資料
    • Progress report (佐藤): 🔒内部資料
  • 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)
  • 11/17 (Tue): 14:40-
    • Progress report (大野)
    • Paper reading (小林)
      • Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom. Teaching Machines to Read and Comprehend, arXiv, Jun, 2015
      • paper, slide
  • 11/10 (Tue): 14:40-
    • Paper reading (高橋)
      • Armand, Alexandre, David Filliat, and Javier Ibañez-Guzman. "Ontology-based context awareness for driving assistance systems." In Intelligent Vehicles Symposium Proceedings, 2014 IEEE, pp. 227-233. IEEE, 2014.
      • paper,🔒内部資料
    • Progress report (井之上)
  • 10/27 (Tue): 14:40-
    • (Progress report (Paul))
    • Practice talk (小林)
      • 再帰型ニューラルネットワークを用いた対話破綻検出と言語モデルのマルチタスク学習
      • 🔒 slide, 🔒paper1, 🔒paper2
  • 10/20 (Tue): 14:40-
    • Paper reading (横井)
      • Tim Rocktäschel, Sameer Singh, and Sebastian Riedel. Injecting Logical Background Knowledge into Embeddings for Relation Extraction. NAACL-HLT 2015.
      • paper, 🔒slides
    • Paper reading (小林)
      • Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomáš Kočiský, Phil Blunsom, Reasoning about Entailment with Neural Attention, arXiv, Sep, 2015
      • paper, 🔒slide
  • 8/5 (Wed): 夏休み特別会 / 14:30-
  • 6/24 (Wed)
    • Paper reading (井之上)
      • Mathias Niepert and Pedro Domingos. Tractable Probabilistic Knowledge Bases: Wikipedia and Beyond. STAR-AI14.
      • paper, 🔒slides
    • Paper reading (横井)
      • Zhen Wang et al. Knowledge Graph Embedding by Translating on Hyperplanes. AAAI 2014.
      • paper, 🔒slides
  • 6/10 (Wed)
    • Progress report (山本): 評価関数の改良と共参照事例からの知識獲得 (🔒内部資料)
    • Paper reading (小林)
      • Do Supervised Distributional Methods Really Learn Lexical Inference Relations? Omer Levy, Steffen Remus, Chris Biemann, and Ido Dagan. NAACL 2015
      • paper, 🔒slide
  • 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)
    • Progress Report (杉浦)
    • Paper Reading (大野)
      • Li Dong er al., Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification, ACL 2014
      • paper, 🔒slide
  • 5/6 (Wed)
    • 振替休日
  • 4/29 (Wed)
    • 昭和の日
  • 4/22 (Wed)
    • Paper Reading (周)
      • Ander Barrena et al. “One Entity per Discourse " and "One Entity per Collocation" Improve Named-Entity Disambiguation. COLING 2014.
      • 🔒slides paper
    • Paper Reading (小林)
      • Subhro Roy, Tim Vieira, Dan Roth. Reasoning about Quantitiesin Natural Language, TACL 2015
      • 🔒slide, paper, 補助資料
  • 4/15 (Wed)
    • Paper Reading (山本)
      • Rolf Schwitter, Controlled Natural Language Processing as Answer Set Programming: an Experiment, 2014
      • 🔒スライド, 🔒論文
    • Progress Report (大野)


Progress report井之上杉浦山本横井Paul大野小林高橋
Paper readingPaul大野小林高橋井之上杉浦山本横井


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


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




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