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
Wednesday 4:30-6:00pm
Member
乾,岡﨑,Canasai,井之上,杉浦,山本,周,Paul,大野,小林
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

Schedule

  • 4/8 (Wed)
    • Kick-off Meeting (杉浦)
    • タスク紹介 (杉浦,山本,周,Paul,稲田,大野,小林)
  • 3/4 (Wed)
    • Paper reading (井之上)
      • Ashutosh Modi and Ivan Titov. Inducing Neural Models of Script Knowledge. Conference on Computational Natural Language Learning (CoNLL), 2014. 🔒内部資料
    • Paper reading (大野)
      • Inducing Neural Models of Script Knowledge. Ashutosh Modi and Ivan Titov. 🔒paper, 🔒slide
  • 2/25 (Wed)
    • Paper reading (稲田)
      • Chikara Hashimoto; Kentaro Torisawa; Julien Kloetzer; Motoki Sano; István Varga; Jong-Hoon Oh; Yutaka Kidawara, "Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features", ACL 2014, paper, note, errata, 🔒内部資料
    • Progress report (杉浦)
  • 2/18 (Wed)
    • Paper reading (周)
      • Dojchinovski, Milan, and Tomáš Kliegr. "Entityclassifier. eu: real-time classification of entities in text with Wikipedia." Machine Learning and Knowledge Discovery in Databases. Springer Berlin Heidelberg, 2013. 654-658.
      • paper1,paper2,🔒slides
    • Progress report (山本): 仮説推論の高速化とWSCへの適用 (🔒内部資料)
  • 2/4 (Wed)
    • Progress report (大野): 🔒内部資料
    • Paper reading (Paul) Joonsuk Park and Claire Cardie. 2014. Identifying Appropriate Support for Propositions in Online User Comments 🔒Paper 🔒Slides
  • 1/28 (Wed)
    • Progress report (Canasai): 🔒slides
    • Paper reading(山本)
      • Marek Rei and Ted Briscoe, 2014, Looking for Hyponyms in Vector Space, Proceedings of the Eighteenth Conference on Computational Natural Language Learning, pp.68-77
      • 🔒slide, paper
  • 1/14 (Wed)
    • Paper reading(杉浦)
      • +/-EffectWordNet: Sense-level Lexicon Acquisition for Opinion Inference, Yoonjung Choi and Janyce Wiebe, EMNLP2014
      • paper, poster
  • 1/7 (Wed)
    • Progress report(Paul) 🔒内部資料
    • Paper reading(井之上)
      • Wang et al. 2012. Exact Soft Confidence-Weighted Learning. ICML2012.
      • 🔒内部資料
  • 12/17 (Wed)
    • Progress report(小林): 🔒内部資料
    • Paper reading(大野)
      • Reasoning With Neural Tensor Networks for Knowledge Base Completion, Richard Socher+, NIPS2013 paper, 🔒内部資料
  • 12/3 (Wed)
    • Progress report(稲田)
      • 時間関係の付与対象同定へ向けた event & state アノテーション 🔒内部資料
    • Paper reading(佐藤雅)
      • Transition-based Semantic Role LabelingUsing Predicate Argument Clustering, Jinho D. Choi and Martha Palmer, ACL 2011 🔒 slides, paper
  • Paper reading(Canasai)
    • Tackling Winograd Schemas by Formalizing Relevance Theory in Knowledge Graphs, Peter Schüller, KR2014
    • paper 🔒slides
  • 11/12 (Wed)
    • Progress report(井之上)
    • Paper reading(周)
      • A Rule-Based System for Unrestricted Bridging Resolution:Recognizing Bridging Anaphora and Finding Links to Antecedents paper
      • 🔒marked paper 🔒slides
  • 11/5 (Wed)
    • Paper reading(山本)
      • Extracting Lexically Divergent Paraphrases from Twitter paper
      • 🔒slide
  • 10/29 (Wed)
    • Progress report(大野)
    • Paper reading(杉浦)
      • Luciano Del Corro, Rainer Gemulla and Gerhard Weikum. Werdy: Recognition and Disambiguation of Verbs and Verb Phrases with Syntactic and Semantic Pruning, EMNLP2014. pdf
      • 🔒内部資料
  • 10/22 (Wed)
    • Progress report(Canasai)
      • An Example-Based Approach to Difficult Pronoun Resolution. 🔒note
    • Paper reading(井之上)
      • William Yang Wang, Kathryn Mazaitis and William W. Cohen. Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic. CIKM2013. pdf,
      • Matt Gardner, Partha Talukdar, Jayant Krishnamurthy and Tom Mitchell. Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases. EMNLP2014. pdf, or
      • Gabor Angeli and Christopher D. Manning. NaturalLI: Natural Logic Inference for Common Sense Reasoning. EMNLP2014. pdf
  • 10/15 (Wed)
    • Paper reading(周)
      • Charton, Eric, et al. "Improving Entity Linking using Surface Form Refinement." LREC 2014.
      • paper 🔒slide
  • 10/8 (Wed)
    • Progress report(小林)
  • 9/24 (Wed) 16:30- G10
    • Progress report (井之上)
    • Paper reading (佐藤)
      • Predicate argument structure analysis using partially annotated corpora (Yoshino+, IJCNLP, 2013)
      • 🔒slide paper
  • 9/17 (Wed) 16:30- G10
  • 9/3 (Wed) 16:30- G9
    • Progress report (大野)
    • Paper reading (山本) : Is This a Paraphrase? What Kind? Paraphrase Boundaries and Typology, Marta Vila, M. Antònia Martí, Horacio Rodríguez (🔒slide, paper)
  • 7/23 (Wed) 16:30- G8
    • Progress report (佐藤)
    • Paper reading (杉浦)
      • Qi Zhang, Jin Qian, Huan Chen, Jihua Kang, Xuanjing Huang. Discourse Level Explanatory Relation Extraction from Product Reviews Using First-order Logic. ACL2013.
      • paper 🔒slides 🔒paper(マーク付き)
  • 7/16 (Wed) 16:30- G7
    • Progress report (稲田)
    • Paper reading (井之上)
      • Carlos R.C. Souza and Paulo E. Santos. Probabilistic Logic Reasoning about Traffic Scenes. TAROS 2011.
      • paper 🔒slides
  • 7/9 (Wed) 16:30- G6
    • Progress report (周)
    • Paper reading (Canasai)
      • Learning-based Multi-Sieve Co-reference Resolution with Knowledge (Lev Ratinov and Dan Roth, EMNLP-2012)
      • paper 🔒slides
  • 7/2 (Wed) 16:30- G5
    • Practice talk for pre-master's thesis presentation (Paul)
    • Paper reading (小林)
      • A Generative Model for User Simulation in a Spatial Navigation Domain (Eshky et al., EACL, 2014)
      • paper
      • 🔒slide
  • 6/25 (Wed) 16:30- G4
    • Practice talk for SIGNL-217 (山本) : ( 🔒内部資料)
    • Paper reading (大野)
      • A Latent Dirichlet Allocation method for Selectional Preference (Alan et al., ACL, 2010)
      • 🔒paper
      • 🔒slide
  • 6/18 (Wed) 16:30- G3
    • Progress report (杉浦・井之上) (🔒内部資料)
    • Paper reading (佐藤)
      • Recurrent Convolutional Neural Networks for Discourse Compositionality (Kalchbrenner et al., CVSC, 2013)
      • 🔒Slides
      • 🔒Paper
  • 6/11 (Wed) 16:30- G2
    • Progress report (Canasai) 🔒slides
    • Paper reading (稲田)
  • 6/4 (Wed) 16:30- G1
    • Paper reading (Paul)
      • Identifying Controversial Issues and their Sub-topics in News Articles (Yoonjung Choi, Yuchul Jung, Sung-Hyon Myaeng - 2010)
      • 🔒Slides
      • 🔒Paper
  • 5/28 (Wed) 16:30- G10
    • Progress report (大野)
    • Paper reading (周)
      • Jesse Dunietz and Dan Gillick. A New Entity Salience Task with Millions of Training Examples. EACL 2014
      • 🔒Paper
      • 🔒Slide
  • 5/21 (Wed) 16:30- G9
    • Paper reading (山本): Scaling Inference for Markov Logic via Dual Decomposition (論文, 🔒内部資料)
  • 5/14 (Wed) 16:30- G8
    • Progress report (稲田)
    • Paper reading (杉浦)
      • Attapol Rutherford and Nianwen Xue. Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns. EACL2014
      • 🔒内部資料
      • 論文
  • 5/7 (Wed) 16:30- G7
    • Progress report (佐藤)
    • Paper reading (Canasai)
      • Sarcasm as Contrast between a Positive Sentiment and Negative Situation, Ellen Riloff, Ashequl Qadir, Prafulla Surve, Lalindra De Silva, Nathan Gilbert, Ruihong Huang, EMNLP-2013
      • paper 🔒slides
  • 4/30 (Wed) 16:30- G6
  • 4/23 (Wed) 16:30- G5
    • Progress report (周) 🔒内部資料
    • Paper reading (小林)
      • Generating Natural-Language Video Descriptions Using Text-Mined Knowledge, Niveda Krishnamoorthy & Girish Malkarnenkar & Raymond J. Mooney & Kate Saenko & Sergio Guadarrama, AAAI, 2013
      • 論文, 🔒内部資料
  • 4/16 (Wed) 16:30-
    • Paper reading (山本)
      • Online Inference-Rule Learning from Natural-Language Extractions, S. Raghavan & R. J. Mooney, AAAI, 2013.
      • 論文, 🔒内部資料
  • 4/10 (Thu) 15:00-
    • Kick-off Meeting (井之上、杉浦、山本、周)
      • 井之上: Study of Discourse is Fun (🔒内部資料)
      • 杉浦: タスク紹介 ー共参照解析と談話関係認識ー (🔒内部資料)
      • 山本: タスク紹介 ー 談話解析のための論理推論機構の構築 (🔒内部資料)
      • 周: タスク紹介 ー Entity Linking for Knowledge Base Population (🔒内部資料)
  • 4/3 (Thu)
    • Progress report (Canasai)
    • Progress report (井之上)
    • Progress report (杉浦)

Assignment

G1G2G3G4G5G6G7G8G9G10
Progress reportCanasai井之上杉浦山本Paul稲田佐藤(雅)大野小林
Paper readingPaul稲田佐藤(雅)大野小林Canasai井之上杉浦山本

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

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

Tools

Misc.


Last-modified: 2020-06-25 (Thu) 09:12:28 (121d)
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