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.


  • 1st Semester: Thu 16:20-17:50
  • 2nd Semester: Thu 14:40-16:10


乾, 岡﨑, 井之上, Paul, 稲田, 横井, 高橋, 佐藤, 清野, 赤間, 白井, 栗林

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


  • KIAI との役割分担
    • 談話: paper reading(サーベイ結果や自分の研究を紹介してもOK)
    • KIAI: 進捗報告
  • 読みかた
    • 各回2名が発表
    • だいたい1ヶ月に1度当番が回ってくる
    • 忙しければ 自由に 延期
    • 発表前に読む論文を #random で紹介
  • 聞きかた
    • 各回1度は質問・コメントをする




  • Thu 3/8 14:40- *今年度ラスト(?)
    • 高橋
      • 特集:KBC の闇
      • D. Q. Nguyen. An overview of embedding models of entities and relationships for knowledge base completion. arXiv, 2018.
      • arXiv, 🔒annotated paper


  • Thu 2/15 14:40-
  • 清野
    • Philipp Koehn and Rebecca Knowles. Six challenges for neural machine translation. In Proceedings of the First Workshop on Neural Machine Translation, pp. 28–39, Vancouver, August 2017. Association for Computational Linguistics.
    • 🔒内部資料
    • Elliott, Desmond, and Akos Kádár. "Imagination improves multimodal translation." arXiv preprint arXiv:1705.04350 (2017).
  • Thu 2/8 10:30-
  • 栗林 Wachsmuth, H. et al. (2017), ‘The Impact of Modeling Overall Argumentation with Tree Kernels’, EMNLP 2017
  • Paul
    • Vu et al. (2017), Lexical-semantic resources: yet powerful resources for automatic personality classification, arXiv
    • arXiv, 🔒内部資料
  • Thu 2/1 14:40-
    • 横井
    • 白井
      • Qin, Lianhui, et al. "Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification." Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Vol. 1. 2017.
      • Paper, arXiv
  • Thu 1/25 14:40- 再開
    • 井之上
      • Han Xiao, Minlie Huang, and Xiaoyan Zhu. From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction. IJCAI2016. paper
  • Tue 12/21, 14:40- 年内ラスト
    • 吉成 CEA発表練習
  • Thu 12/14, 14:40-
    • 赤間
      • Dict2vec : Learning Word Embeddings using Lexical Dictionaries; Julien Tissier, Christophe Gravier, Amaury Habrard, EMNLP2017 paper 🔒memo
  • Thu 12/7, 14:40-
    • 栗林
      • Dual Decomposition for Parsing with Non-Projective Head Automata T. Koo, A. M. Rush, M. Collins, T. Jaakkola, and David Sontag, EMNLP 2010. paper 🔒author's slide
    • 白井
      • Teng, Zhiyang, Duy-Tin Vo, and Yue Zhang. "Context-Sensitive Lexicon Features for Neural Sentiment Analysis." EMNLP. 2016. paper 🔒内部資料
  • Thu 11/30, 15:40-(開始時刻注意)
    • Paul
      • Habernal et al, 2017. The Argument Reasoning Comprehension Task. 🔒 Annotated Paper
  • Thu 11/21, 13:00-
    • 赤間
      • IJCNLP発表練習(発表8分+質疑2分)
      • 🔒内部資料
  • Thu 11/16, 14:40-
    • 井之上
      • Tim Rocktäschel and Sebastian Riedel. End-to-end Differentiable Proving. NIPS2017.
      • paper author's slides
  • Thu 11/9, 14:40-
    • 高橋
      • Kenton Lee, Luheng He, Mike Lewis and Luke Zettlemoyer. "End-to-end Neural Coreference Resolution." EMNLP. 2017.
      • paper, 🔒annotated paper
    • Paul
      • Vlad Niculae, Joonsuk Park, Claire Cardie. "Argument Mining with Structured SVMs and RNNs". ACL2017
      • 🔒Annotated Paper
  • Thu 11/2, 14:40-
    • 白井
    • 議題:コマ変更(総合研究会かKIAIに合わせる?&乾さん居る日) → 総合研究会と同曜日になったのでこのまま。KIAIを動かす?
    • 議題:横井延期 → 11/30に
  • Thu 10/19, 14:15- (開始時刻注意)
    • 赤間
      • Intrinsic Subspace Evaluation of Word Embedding Representations; Yadollah Yaghoobzadeh and Hinrich Schutze. ACL2016
      • paper 🔒memo
    • 栗林
  • Tue 10/10, 13:00-
    • 議題:コマ変更(火曜3限→木曜4限)
    • 横井
      • Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, Percy Liang. “Generating Sentences by Editing Prototypes.” arXiv, 2017.
      • arXiv, 🔒annotated paper
    • 高橋
      • Melamud, Oren, Jacob Goldberger, and Ido Dagan. “context2vec: Learning Generic Context Embedding with Bidirectional LSTM.” CoNLL. 2016.
      • paper, 🔒annotated paper
  • Tue 9/26, 14:40-
    • 赤間
      • Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings; Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkatesh Saligrama, Adam Kalai. NIPS2016
      • paper 🔒memo
  • Tue 9/19, 14:40-
    • 吉成
      • Liping Wang , Qing Li , Na Li , Guozhu Dong , Yu Yang.“Substructure Similarity Measurement in Chinese Recipes.”Proceedings of the 17th international conference on World Wide Web. ACM, 2008.
      • paper, 🔒memo
  • 栗林
    • Peter Potash, Alexey Romanov, Anna Rumshisky. Here’s My Point: Joint Pointer Architecture for Argument Mining. EMNLP, 2017.
    • paper, 🔒annotated paper, 🔒memo
  • Tue 9/12, 13:00-
    • 横井
      • Ashutosh Modi, Ivan Titov, Vera Demberg, Asad Sayeed, Manfred Pinkal. “Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction.” TACL, 2017.
      • ACL anthology, 🔒annotated paper
    • 高橋
      • Benjamin Heinzerling, Nafise Sadat Moosavi and Michael Strube. “Revisiting Selectional Preferences for Coreference Resolution.” EMNLP, 2017.
      • ACL anthology, 🔒annotated paper, 🔒memo

  • August: Summer Break

  • Thu 7/27, 16:50-
    • Paul
      • What is the Essence of a Claim? Cross-domain claim identification - Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych
      • 🔒内部資料 Paper
    • 佐藤: 進捗報告 🔒内部資料
  • Thu 7/13, 16:20-
    • 清野
      • Learning to Compute Word Embeddings On the Fly - Dzmitry Bahdanau, Tom Bosc, Stanisław Jastrzębski, Edward Grefenstette, Pascal Vincent, Yoshua Bengio
      • 🔒内部資料 Paper
  • Thu 6/22, 16:20-
    • 清野
      • seq2seq+attentionフレームワークの紹介 🔒HTML 🔒PDF
  • Thu 6/15, 16:20-
    • 赤間
      • Automatic conversion of sentence-end expressions for utterance characterization of dialogue systems; Chiaki Miyazaki, Toru Hirano, Ryuichiro Higashinaka, Toshiro Makino and Yoshihiro Matsuo, PACLIC2015
      • paper 🔒memo
  • 高橋
    • Nafise Sadat Moosavi and Michael Strube. "Lexical Features in Coreference Resolution: To be Used With Caution." To appear in ACL 2017
    • arXiv, 🔒annotated paper
  • Thu 5/25, 16:20-
    • (おやすみ; JSAI)
  • Thu 5/18, 16:20-
    • Paul
      • Recognizing Insufficiently Supported Arguments in Argumentative Essays; Stab & Gurevych, EACL2017
      • 🔒内部資料
  • Fri 5/12, 17:30- (after the weekly research seminar)
  • Tue 4/25, 16:20-
    • 赤間
      • Controlling Politeness in Neural Machine Translation via Side Constraints; Rico Sennrich+, NAACL2016
      • paper 🔒memo
    • 稲田
      • Fandong Meng et.al., Interactive Attention for Neural Machine Translation, COLING, 2016
      • paper 🔒内部資料
  • Tue 4/18, 16:20-
    • 横井
      • S. Zhao, et al. "Constructing and embedding abstract event causality networks from text snippets." WSDM, 2017.
      • ACM, 🔒annotated paper
    • 高橋
      • Liua, Quan, et al. "Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge." arXiv preprint arXiv:1611.04146 (2016).
      • arXiv, 🔒annotated paper, 🔒memo


  • v: presented
  • (v): assigned







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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