FrontPage / SIG Semantics

About the SIG / 概要

意味解析(モダリティ解析や述語項構造解析など)や談話,その周辺に関する論文の紹介,議論,進捗報告を行う.

Special Interest Group on Semantics (SIG Semantics) discusses semantic analysis such as modality analysis and predicate-argument structure analysis. Typically, we read one paper and discuss research progress of one person at a time. The schedule is listed below.

2018 - 2015

Date
前期: Tuesday 14:40- 後期: Tuesday 16:20-
Members
乾,鈴木,松林,水本,浅野, 阿部, 田上, 大内
Keywords
述語項構造解析 (predicate-argument structure analysis / semantic role labeling),モダリティ解析 / 事実性解析 (modality analysis / factuality analysis), 数値情報 (numerical information),含意関係認識 / 文間関係認識 (recognizing textual entailment / semantic relation recognition), 時間関係認識 (temporal relation identification)

Schedule

進捗報告の人は、論文にまとめるためのプランを書く

  • アイデアレベルの人はざっくり
  • 手法提案まで進んだ人はある程度細かく

  • 8/10 (Thu) 13:00-
    • 浅野(進捗)
  • 7/26 (Thu) 13:00-
    • 阿部(論文)
    • 松林(進捗)
  • 7/19 (Thu) 13:00-
    • 水本(論文)
      • Tao Ge, Furu Wei, Ming Zhou. Fluency Boost Learning and Inference for Neural Grammatical Error Correction. ACL2018
      • paper, 🔒内部資料
      • Tao Ge, Furu Wei, Ming Zhou. REACHING HUMAN-LEVEL PERFORMANCE IN AUTOMATIC GRAMMATICAL ERROR CORRECTION: AN EMPIRICAL STUDY. arXiv
      • paper, 🔒内部資料
  • 7/5 (Thu) 13:00-
    • 田上(論文)
      • James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal. FEVER: a large-scale dataset for Fact Extraction and VERification
      • paper, 🔒内部資料
      • Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes. Reading Wikipedia to Answer Open-Domain Questions
      • paper
      • Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit. A Decomposable Attention Model for Natural Language Inference
      • paper
  • 6/28 (Thu) 13:00-
    • 大内(進捗):内部資料
    • 松林(論文)
      • Alex Rosenfeld and Katrin Erk. Deep Neural Models of Semantic Shift. NAACL-HLT 2018
      • paper,🔒内部資料
  • 6/7 (Thu) 13:00-
    • 阿部(論文)
      • Jiatao Gu, Hany Hassan, Jacob Devlin, Victor O.K. Li
      • Universal Neural Machine Translation for Extremely Low Resource Languages
      • NAACL2018
      • paper, 🔒内部資料
  • 5/31 (Thu) 13:00-
    • 阿部(進捗) : EMNLPの進捗などなど 🔒内部資料
    • 浅野(論文)
      • Marcin Junczys-Dowmunt, Roman Grundkiewicz, Shubha Guha, Kenneth Heafield
      • Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task
      • NAACL2018
      • paper, 🔒内部資料
  • 5/24 (Thu) 13:00-
    • 浅野(進捗):ニューラル文法誤り訂正へ🔒内部資料
  • 5/17 (Thu) 13:00-
    • 水本(論文)
      • Yevgeni Berzak, Boris Katz, Roger Levy
      • Assessing Language Proficiency from Eye Movements in Reading
      • NAACL2018
      • paper, 🔒内部資料
    • 松林(進捗): 検定とか今後とか 🔒内部資料
  • 5/10 (Thu) 13:00-
  • 4/26 (Thu) 13:00-
    • 田上(進捗)🔒内部資料
    • 松林(論文)🔒内部資料
      • Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer
      • [1802.05365v2] Deep contextualized word representations (NAACL 2018)
      • Abstract: We introduce a new type of deep contextualized word representation that models both (1) complex characteristics of word use (e.g., syntax and semantics), and (2) how these uses vary across linguistic contexts (i.e., to model polysemy). Our word vectors are learned functions of the internal states of a deep bidirectional language model (biLM), which is pre-trained on a large text corpus. We show that these representations can be easily added to existing models and significantly improve the state of the art across six challenging NLP problems, including question answering, textual entailment and sentiment analysis. We also present an analysis showing that exposing the deep internals of the pre-trained network is crucial, allowing downstream models to mix different types of semi-supervision signals.
  • 4/19 (Thu) 13:00-
  • 4/12 (Thu) 13:00-
    • キックオフ(研究会紹介)🔒内部資料
    • 浅野(論文)
      • Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu
      • SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
      • In AAAI2017 🔒内部資料 paper
      • paper
  • 3/9
    • NLP 2018 発表練習したい人2名
    • NLP 2018 発表練習したい人2名
  • 3/2 (松林不在)
    • 渡邉(進捗)
    • 鶴田(進捗)
  • 2/23
    • ACL休み
  • 2/16
    • 阿部(論文紹介)
      • Clara Vania and Adam Lop
      • From Characters to Words to in Between: Do We Capture Morphology?
      • In ACL2017. 🔒内部資料
    • 水本(論文紹介)Evaluating performance of grammatical error detection to maximize learning effect, COLING2010. 🔒内部資料
  • 2/2
    • 渡邉(論文紹介)
      • Lau, Jey Han, Timothy Baldwin, and Trevor Cohn
      • Topically Driven Neural Language Model
      • In ACL 2017 🔒内部資料
    • 田上(論文紹介)
      • Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy
      • Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning
      • In ACL 2017 🔒内部資料 paper
  • 1/19
    • 松林(論文紹介)
      • Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi
      • Deep Semantic Role Labeling with Self-Attention
      • In AAAI-2018 (to appear) 🔒内部資料
  • 12/22
    • 渡邉(進捗)潜在的トピックモデルによる発話者の「個性」のモデル化 🔒内部資料
    • 栗原(進捗)修論追い込む 内部資料
  • 12/8
    • 鶴田(論文紹介)Jans, Bram, et al. "Skip n-grams and ranking functions for predicting script events." Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, 2012. 内部資料 paper
    • 浅野(論文紹介)Helen Yannakoudakis, Marek Rei, Øistein E. Andersen and Zheng Yuan, Neural Sequence-Labelling Models for Grammatical Error Correction, EMNLP2017 🔒内部資料 paper
  • 11/24
    • 菊池(論文紹介) Jiwei Li, Dan Jurafsky Do Multi-Sense Embeddings Improve Natural Language Understanding? EMNLP2015 内部資料 paper
    • 栗原(論文紹介)An T. Nguyen, Byron C. Wallace, Junyi Jessy Li, Ani Nenkova, Matthew Lease. Aggregating and Predicting Sequence Labels from Crowd Annotations, ACL2017 🔒内部資料 paper
  • 11/10
    • 浅野(論文紹介 NL研原稿をみんなで読む)
  • 10/20
    • 浅野(論文紹介)
      • Peter Anderson, Basura Fernando, Mark Johnson, Stephen Gould. SPICE: Semantic Propositional Image Caption Evaluation ECCV 2016. SPICE 🔒内部資料
    • 佐々木(論文紹介)
      • Bjarke Felbo. Alan Mislove, Anders Søgaard, Iyad Rahwan, Sune Lehmann. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm. EMNLP 2017. paper demo github 🔒内部資料
  • 10/13
    • 阿部(進捗)方言の自然言語処理研究について 🔒内部資料
    • 田上(進捗)ファクトチェック支援システムの実現に向けて 🔒内部資料
  • 10/6
    • 松林(論文紹介)
      • Nguyen, Dat Tien and Joty, Shafiq. A Neural Local Coherence Model. In ACL 2017 🔒内部資料
      • 参考資料:Extending the Entity Grid with Entity-Specic Features. In ACL. 2011. 参考資料
      • 参考資料:Modeling Local Coherence: An Entity-Based Approach. CL, 2008. 参考
    • 水本(論文紹介)
  • 9/22
    • 鶴田(論文紹介)Beyond Canonical Texts: A Computational Analysis of Fanfiction [milli+ 2016](EMNLP2016)paper 内部資料
    • 渡邉(論文紹介)Automatically Generating Rhythmic Verse with Neural Networks スライド
  • 9/8
    • 松林(進捗): 渡邉さんの論文をみんなで読む。
  • 7/28
    • 浅野(論文紹介)
      • How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs, Sennrich (EACL 2017)
      • 🔒内部資料
    • 水本(進捗)
  • 7/21
    • 菊地(論文紹介)
      • Modelling metaphor with attribute-based semantics [Bulat+ 2017](EACL 2017)
      • Efficient, Compositional, Order-Sensitive n-gram Embeddings[Poliak+ 2017](EACL 2017)
      • 内部資料
    • 鶴田(進捗)内部資料
  • 7/14
    • 栗原(論文紹介)
      • Hannah Rashkin, Eric Bell, Yejin Choi, Svitlana Volkova. Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast. ACL 2017. paper 🔒内部資料
      • 参考paper 🔒 内部資料
  • 7/7
    • IJCNLP締め切りのため休み
  • 6/23
    • 佐々木(論文紹介)
      • Dmitry Ustalov, Alexander Panchenko, and Chris Biemann. Automatic Induction of Synsets from a Graph of Synonyms. ACL 2017. paper 内部資料
    • 水本(論文紹介)
      • Keisuke Sakaguchi, Matt Post and Benjamin Van Durme. Error-repair Dependency Parsing for Ungrammatical Texts. ACL 2017. 🔒内部資料
  • 6/16
    • 鶴田(論文紹介)Identification of Speakers in Novels 🔒内部資料
    • 菊地(進捗) 報告 🔒内部資料
  • 6/9
    • 松林(進捗)
  • 6/2
    • 浅野(論文紹介)
      • Tal Linzen, Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies, TACL 2016 🔒内部資料
  • 5/26
    • 渡邉(進捗)メロディと歌詞の相関に基づく自動歌詞生成 🔒内部資料
  • 5/19
    • 水本(進捗)資料
    • 栗原(進捗)Twitter上での評判情報解析に向けてのデータセット作成 🔒内部資料
  • 5/12
    • 松林(論文紹介)
      • Luheng He, Kenton Lee, Mike Lewis, and Luke Zettlemoyer (2017) Deep Semantic Role Labeling: WhatWorks and What’s Next. In ACL 2017.
      • 🔒内部資料
    • 浅野(進捗)🔒内部資料
  • 4/28
    • 渡邉(論文紹介)Affect-LM: A Neural Language Model for Customizable Affective Text Generation, Sayan Ghosh+, ACL 2017, 🔒内部資料
  • 4/21
    • Kick-off: 研究会紹介 🔒内部資料
    • 佐々木(進捗): 賛否分類へのこれまでの取り組みと、その先の世界への展望 🔒内部資料
  • 3/3 (Fri) 13:00-
  • 2/24 (Fri) 13:00-
    • 鶴田 (論文紹介)
      • Elson, David K., and Kathleen McKeown. "Automatic Attribution of Quoted Speech in Literary Narrative." AAAI. 2010. 🔒内部資料 🔒paper
    • ディアナ (論文紹介)
      • The impact of simple feature engineering in multilingual medical NER., COLING 2016 🔒内部資料 paper
  • 2/17 (Fri) 13:00-
    • 水本 (進捗論文紹介)
      • A Fluency Corpus and Benchmark for Grammatical Error Correction, Courtney Napoles et al., EACL 2017 arXiv data 🔒内部資料
    • 小松
  • 2/10 (Fri) 13:00-
    • 栗原 (論文紹介)
      • Effective LSTMs for Target-Dependent Sentiment Classification, Duyu Tang et al., COLING 2016 paper 🔒内部資料
    • 菊地 (論文紹介)
      • Metaphor Detection with Topic Transition, Emotion and Cognition in Context, Jang+, ACL2016 paper 🔒内部資料
  • 2/3 (Fri) 13:00- 中止
  • 1/20 (Fri) 13:00-
    • 松田 (進捗) : 日本語 wikification ツールキット: jawikify 🔒内部資料
    • 折田
  • 1/13 (Fri) 13:00-
    • 水本(論文紹介)
      • Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation, Mou+, COLING2016 paper 🔒内部資料
    • 渡邉 (論文紹介)
      • Transfer Learning for Low-Resource Neural Machine Translation, Barret Zoph+, EMNLP2016 🔒内部資料
  • 1/6 (Fri) 13:00-
  • 稲田(論文紹介)
    • K-SRL: Instance-based Learning for Semantic Role Labeling
    • Alan Akbik and Yunyao Li. COLING 2016. 論文 🔒内部資料
  • 12/6 (Fri) 13:00-
  • 11/18 (Fri) 13:00-
    • 浅野(進捗)🔒内部資料 ;
    • 佐々木(論文紹介)
      • Joint Prediction for Entity/Event-Level Sentiment Analysis using Probabilistic Soft Logic Models
      • Lingjia Deng and Janyce Wiebe. EMNLP 2015 paper
      • 🔒内部資料
  • 11/11 (Fri) 13:00-
  • 11/4 (Fri) 13:00-
    • 松田(論文紹介)
      • Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities
      • Yi Yang, Ming-Wei Chang and Jacob Eisenstein. EMNLP 2016 paper 🔒内部資料
  • 10/25 (Tue) 10/28 (Fri) 13:00-
  • 10/18 (Tue) 10/21 (Fri) 13:00-
    • 松林(論文紹介)
      • Neural Semantic Role Labeling with Dependency Path Embeddings 🔒 論文
      • Michael Roth and Mirella Lapata, ACL 2016 🔒内部資料
    • 渡邉(進捗)
      • (1)歌詞生成のための音楽の構造解析 と (2)歌詞のストーリーモデル 🔒内部資料
  • 10/4 (Tue) 16:20
    • 稲田(論文紹介)
      • Improving Hypernymy Detection with an Integrated Path-based and Distributional Method, ACL2016
      • paper, 🔒内部資料
    • 中山(論文紹介) 🔒内部資料 🔒paper
      • Using Mention Accessibility to Improve Coreference Resolution
      • Kellie Webster, Joel Nothman
      • ACL 2016
  • 9/20 (Tue)
    • 松田(進捗)エンティティメンションの意味計算に 基づく知識の構造化 🔒内部資料
  • 7/26 (Tue) 10:30
    • 松林(進捗)項の共有関係を考慮した項構造解析 🔒内部資料
    • ディアナ(論文紹介)Clinical TempEval Overview 🔒内部資料
  • 7/19 (Tue) 10:30
    • 論文紹介
    • 渡邉 Topic Modeling based Sentiment Analysis on Social Media for Stock Market Prediction, ACL 2015 🔒内部資料
  • 7/5 (Tue)
    • 稲田
      • Why-Question Answering using Intra- and Inter-Sentential Causal Relations paper 🔒内部資料
      • Jong-Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Motoki Sano, Stijn De Saeger and Kiyonori Ohtake
  • 6/7 (Tue)
    • 松林(論文紹介)
      • Context-aware Frame-Semantic Role Labeling.
      • Michael Roth and Mirella Lapata. In TACL 2015. 🔒paper 🔒概要
  • 5/31 (Tue)
    • 渡邊
  • 5/10 (Tue)
    • 松田: CNNをテキストのモデリングに利用する研究の動向 🔒内部資料
  • 3/1 (Tue)
  • 2/23 (Tue)
    • 松田 Convolutional Net for Target Dependent Short-Text Classification 🔒内部資料
  • 2/9 (Tue)
    • 渡邉 困った 🔒内部資料
    • 水本
      • 論文紹介 🔒内部資料
      • Extracting Condition-Opinion Relations Toward Fine-grained Opinion Mining
      • Yuki Nakayama, Atsushi Fujii
      • EMNLP2015
  • 2/2 (Tue)
  • 1/26 (Tue)
    • 水野 論文紹介 🔒内部資料
      • Classifying Tweet Level Judgements of Rumours in Social Media
      • Michal Lukasik, Trevor Cohn and Kalina Bontcheva
      • EMNLP2015, pp.2590-2595
  • 1/19 (Tue)
    • 総合研究会や新メンバー顔合わせのため中止
    • 渡邉
    • 水野?水本?
  • 12/22 (Tue) 16:20-
    • 佐々木
      • 論文執筆中... repository
      • -> 精度問題により別の会議に延期
    • 上岡 論文紹介 🔒内部資料 paper
      • Mengfei Zhou, Anette Frank, Annemarie Friedrich, Alexis Palmer
      • Semantically Enriched Models for Modal Sense Classification
      • LSDSem2015
  • 12/15 (Tue) 16:20-
    • 松田 論文紹介 🔒内部資料 paper
      • Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis
      • Claudio Delli Bovi, Luca Telesca and Roberto Navigli
      • TACL 2015
  • 12/1 (Tue) 16:20-
    • 松林 論文紹介 🔒内部資料
      • Ryu Iida, Kentaro Torisawa, Chikara Hashimoto, Jong-Hoon Oh, Julien Kloetzer
      • Intra-sentential Zero Anaphora Resolution using Subject Sharing Recognition
      • EMNLP 2015
    • 進捗報告・研究相談の方法について相談(知識獲得研究会方式?)
  • 11/24 (Tue) 16:20-
    • 水野 🔒内部資料
      • Detecting Subgroups in Online Discussions by Modeling Positive and Negative Relations among Participants. Ahmed Hassan, Amjad Abu-Jbara, and Dragomir Radev, EMNLP-CoNLL 2012, pp. 59-70 PDF
    • 渡邉 🔒内部資料
      • 歌詞穴埋め問題&歌詞並び替え問題の人出評価
  • 11/17 (Tue) 16:20-
    • 上岡 🔒slide paper
      • Jacob Andreas and Dan Klein
      • Alignment-Based Compositional Semantics for Instruction Following
      • EMNLP 2015
    • 水本 🔒内部資料
  • 11/10 (Tue) 16:20-
    • 稲田 🔒内部資料
    • 村岡 論文紹介 スライド → [🔒    ]
      • Andrej Karpathy, Justin Johnson and Li Fei-Fei
      • Visualizing and Understanding Recurrent Networks
      • arXiv, June, 2015. 論文
  • 10/27 (Tue) 16:20-
    • 成田:論文紹介 🔒内部資料
      • Humor Recognition and Humor Anchor Extraction. 論文
      • Diyi Yang, Alon Lavie, Chris Dyer, Eduard Hovy
      • EMNLP 2015
    • 佐々木:論文紹介 🔒内部資料
      • Henning Wachsmuth, Johannes Kiesel, and Benno Stein
      • Sentiment Flow - A General Model of Web Review Argumentation
      • EMNLP 2015
  • 10/20 (Tue) 16:20-
    • 松林:論文紹介 (🔒内部資料, 論文
      • Jie Zhou and Wei Xu
      • End-to-end Learning of Semantic Role Labeling Using Recurrent Neural Networks
      • ACL-IJCNLP 2015
      • 関連論文(論文
      • Ronan Collobert, Jason Weston, L´eon Bottou, Michael Karlen, Koray Kavukcuoglu and Pavel Kuksa
      • Natural Language Processing (almost) from Scratch
      • Journal of Machine Learning Research (2011)
  • 松田 : 論文紹介, 最近のNE研究からいくつか : 🔒スライド
    • Zhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, Eric P. Xing, "Entity Hierarchy Embedding", ACL 2015, 論文
    • Wei Lu and Dan Roth, “Joint Mention Extraction and Classification with Mention Hypergraphs”, EMNLP 2015, 論文
    • Luciano Del Corro, Abdalghani Abujabal, Rainer Gemulla and Gerhard Weikum, "FINET: Context-Aware Fine-Grained Named Entity Typing", EMNLP 2015, 論文
  • 10/13 (Tue) 16:20-
    • 大江
    • 渡邉
  • 7/21 (Tue) 14:40-
    • 稲田:進捗報告 Toward Acquiring Script Knowledge by Skip-gram Model 🔒内部資料
  • 7/7 (Tue) 14:40-
    • 成田: 進捗報告 🔒内部資料
    • 佐々木: 論文紹介
      • Key Female Characters in Film Have More to Talk About Besides Men: Automating the Bechdel Test
      • Apoorv Agarwal, Jiehan Zheng, Shruti Vasanth Kamath, Sriram Balasubramanian, and Shirin Ann Dey. NAACL 2015.
      • Paper 🔒内部資料
  • 6/30 (Tue) 14:40-
    • 松林: 論文紹介 🔒色付き論文 🔒説明スライド
      • Automatic prediction of aspectual class of verbs in context
      • Annemarie Friedrich and Alexis Palmer
      • ACL 2014 short paper
    • 渡邉:進捗 対数線形補間による 歌詞における重要な特徴を満たした歌詞生成手法の提案 🔒内部資料
  • 6/16 (Tue) 14:40-
    • 松田: 論文紹介
      • Design Challenges for Entity Linking
      • Xiao Ling, Sameer Singh and Daniel S. Weld. TACL 2015 Paper 🔒内部資料
  • 5/27 (Wed) 14:40-
  • 5/21 (Thu) 10:30-
    • 松田: 発表練習 Annotating Geographical Entities on Microblog Text 🔒ポスター
    • 上岡 発表練習 🔒poster
  • 5/19 (Tue) 10:00-
    • 大江
    • 栗原: 人工知能学会全国大会発表練習 : 🔒内部資料
  • 4/28 (Tue) 14:40-
    • 松林: 複数の項構造の関係を 利用した述語項構造解析 🔒内部資料
  • 4/21 (Tue) 14:40-
  • 4/7 (Tue) 15:00-
    • 松林:Kickoff チュートリアル 🔒内部資料
    • 渡邉:実用レベルの歌詞生成を目指して 🔒内部資料

論文紹介の仕方

  • 論文のエッセンスは何なのか、メモを作成する(default)

参考リンク / Links

モダリティ解析 version 0.8
松吉らが定めた拡張モダリティの体系,およびその付与基準など.コーパス公開サイト

過去の記録

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

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.


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