概要 †

知識獲得に関して，自分の研究の相談を行ったり，みんなで論文を読み，議論を行います．

2013年度 †

日時

毎週火曜日 10:30-

主な参加者

岡崎，高瀬，鍋島，代勤，貴大

予定・記録 †

• 3/11(火)
  • 高瀬: 発表練習

• 3/4(火)
  • 鍋島: 進捗報告

• 2/25(火)
  • 代勤: 論文紹介 Roberts, Kirk and Skinner, Michael A. and Harabagiu, Sanda M."Recognizing Spatial Containment Relations between Event Mentions". IWCS 2013. Paper: 🔒内部資料 Slides: 🔒内部資料

• 2/18(火)
  • 岡崎: 進捗報告 🔒内部資料

• 2/10(月)
  • 高瀬: 修論リハ：🔒内部資料
  • 鍋島: 修論リハ：🔒内部資料

• 2/4(火)
  • 代勤: 進捗報告 🔒内部資料

• 1/28(火)
  • 鍋島: 進捗報告 🔒内部資料

• 1/21(火)
  • 言語処理学会論文直前
  • 佐藤：論文輪読 🔒内部資料

• 1/14(火)
  • 代勤：修論予備審査発表練習　🔒内部資料
  • 鍋島：修論予備審査発表練習　🔒内部資料
  • 高瀬：修論予備審査発表練習　🔒内部資料 15日版：🔒内部資料

• 1/7(火)
  • 佐藤: 論文輪読 Douwe Kiela and Stephen Clark. "Detecting Compositionality of Multi-Word Expressions using Nearest Neighbours in Vector Space Models."EMNLP2013🔒内部資料

• 12/17(火) 10:30-
  • 岡崎: 進捗報告: パターンとエンティティのクラスタリング

• 12/10(火) 10:30-
  • 鍋島: 進捗報告: 🔒内部資料
  • 高瀬: 進捗報告: 🔒内部資料

• 12/3(火) 10:30-
  • 代勤: 進捗報告: 🔒内部資料
  • 佐藤: 論文輪読: Ruihong Huang and Ellen Riloff. "Multi-faceted Event Recognition with Bootstrapped Dictionaries." Proceedings of NAACL-HLT. 2013.🔒内部資料

• 11/19(火) 10:30-
  • 岡崎: 進捗報告: ハミング距離に対する類似アイテム検索 🔒内部資料

• 11/12(火) 10:30-
  • 高瀬: 論文輪読：Anthony Fader, Luke Zettlemoyer, Oren Etzioni, Paraphrase-Driven Learning for Open Question Answering, ACL2013, 🔒内部資料

• 11/5(火) 10:30-
  • 鍋島: 進捗報告 🔒内部資料

• 10/29(火) 10:30-
  • 代勤: 論文輪読: Acquiring Strongly-related Events Using Predicate-argument Co-occurring Statistics and Case Frames. Tomohide Shibata and Sadao Kurohashi. AFNLP2011. slides: 🔒内部資料 paper: 🔒内部資料

• 10/22(火) 10:30-
  • 佐藤: 進捗報告　🔒内部資料

• 10/8(火) 10:30-
  • 岡崎: 論文輪読: Andrew McCallum, Kamal Nigram, Lyle H. Ungar. Efficient Clustering of High-Dimensional Data Sets with Application To Reference Matching. KDD-2000. 🔒内部資料

• 10/3(木)
  • 高瀬　Open IEシステムの構築 🔒内部資料

• 9/24(火)
  • 鍋島　進捗報告　🔒内部資料

• 9/17(火)
  • 佐藤: 進捗報告 🔒内部資料

• 9/10(火)
  • 代勤: 進捗報告 🔒内部資料

• 7/23(火)
  • 代勤: 進捗報告 🔒内部資料
  • 高瀬: ACLポスター発表練習 🔒内部資料

• 7/16(火)
  • 鍋島: 論文輪読: Akbik, Alan, et al. Unsupervised Discovery of Relations and Discriminative Extraction Patterns. COLING. 2012. 🔒内部資料 🔒内部資料

• 7/9(火)
  • 岡崎: 進捗報告: Gfarmと局所性に基づく分散並列実行環境（🔒内部資料）

• 7/2(火)
  • たか: 論文輪読: Mehdad Yashar, et al. Towards Topic Labeling with Phrase Entailment and Aggregation, NAACL'13 , 🔒内部資料

• 6/25(火)
  • 高瀬: 進捗報告: 日本語版Reverbの構築に向けて🔒内部資料

• 6/18(火)
  • 代勤: 論文輪読: Avirup Sil and Alexander Yates. Extracting STRIPS representations of Actions and Events
    • 🔒内部資料, Presentation: 🔒内部資料

• 6/11(火)
  • 鍋島: 進捗報告:🔒内部資料

• 5/28(火)
  • 岡崎: 論文輪読: Kai Zhao and Liang Huang. Minibatch and Parallelization for Online Large Margin Structured Learning. NAACL-2013. (論文) (🔒内部資料)

• 5/21(火)
  • たか: 発表練習 🔒内部資料

• 5/14(火)
  • 高瀬: 論文輪読 B. Min et al., Ensemble Semantics for Large-scale Unsupervised Relation Extraction, EMNLP '12., 🔒内部資料

• 5/7(火)
  • 代勤: 研究発表 🔒内部資料

• 4/23(火) 13:00-
  • 岡崎: イントロダクション 🔒内部資料 資料2

参考文献 †

チュートリアル・招待講演 †

• Marius Pasca. Web-Based Open-Domain Information Extraction. WWW 2011.
• Hans Uszkoreit. Learning Relation Extraction Grammars with Minimal Human Intervention: Strategy, Results, Insights and Plans. CICling 2011.
• Oren Etzioni. Machine Reading at Web Scale. WSDM 2008.
• Tom Mitchell. Learning, Information Extraction and the Web. PKDD 2007.

全般 †

• Satoshi Sekine. Semantic Knowledge Discovery.
• Oren Etzioni, Michele Banko, Stephen Soderland and Daniel S. Weld. Open Information Extraction from the Web. Communications of the ACM, 2008.
• Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka, Jr, Tom M. Mitchell. Coupled semi-supervised learning for information extraction, WSDM 2010.

固有表現抽出 †

• Patrick Pantel and Deepak Ravichandran. Automatically Labeling Semantic Classes. HLT-NAACL '04.
• Patrick Pantel and Marco Pennacchiotti. Espresso: Leveraging Generic Patterns for Automatically Harvesting Semantic Relations. Coling-ACL '06.
• Oren Etzioni, Michael Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, and Alexander Yates. Unsupervised Named-Entity Extraction from the Web: An Experimental Study. Artificial Intelligence, 165(1), 91-134, 2005.
• Jun’ichi Kazama and Kentaro Torisawa. Exploiting Wikipedia as External Knowledge for Named Entity Recognition. EMNLP '07.
• Jun Suzuki and Hideki Isozaki. Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data. ACL '08.
• Lev Ratinov and Dan Roth. Design Challenges and Misconceptions in Named Entity Recognition. CoNLL '09.
• Jenny Rose Finkel and Christopher D. Manning. Nested Named Entity Recognition. ACL '09.
• Dan Wu, Wee Sun Lee, Nan Ye and Hai Leong Chieu. Domain adaptive bootstrapping for named entity recognition. EMNLP' 09.
• Ruihong Huang and Ellen Riloff. Inducing Domain-Specific Semantic Class Taggers from (Almost) Nothing. ACL '10.
• Jenny Rose Finkel and Christopher D. Manning. Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data. ACL '10.
• Stefan Rüd, Massimiliano Ciaramita, Jens Müller and Hinrich Schütze. Piggyback: Using Search Engines for Robust Cross-Domain Named Entity Recognition. ACL '11.

エンティティ知識獲得 †

Marius Pasca, Dekang Lin, Jeffrey Bigham, Andrei Lifchits, Alpa Jain. Organizing and Searching the World Wide Web of Facts - Step One: the One-Million Fact Extraction Challenge. AAAI '06.

関係抽出 †

• Makoto Miwa and Rune Sætre and Yusuke Miyao and Jun’ichi Tsujii. A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora, EMNLP '09.
• Yee Seng Chan and Dan Roth. Exploiting Syntactico-Semantic Structures for Relation Extraction. ACL '11.
• Anthony Fader, Stephen Soderland, and Oren Etzioni. Identifying Relations for Open Information Extraction. EMNLP '11.

含意・因果関係 †

• Jonathan Berant, Ido Dagan, Jacob Goldberger. Learning Entailment Relations by Global Graph Structure Optimization, Computational Linguistics, Vol. 38, No. 1, Pages 73-111, March 2012.
• Oren Etzioni, Anthony Fader, Janara Christensen, Stephen Soderland, and Mausam. Open Information Extraction: The Second Generation, AAAI 2011.
• Rajat Raina, Andrew Y. Ng, and Christopher D. Manning. Robust textual inference via learning and abductive reasoning, AAAI '05.
• Nathanael Chambers and Daniel Jurafsky. Unsupervised Learning of Narrative Event Chains, ACL '08.
• Stefan Schoenmackers and Oren Etzioni and Daniel S. Weld and Jesse Davis. Learning first-order Horn clauses from web text. EMNLP '10.
• Mark Sammons, V. G. Vinod Vydiswaran and Dan Roth. "Ask not what Textual Entailment can do for You...". ACL '10.
• Jonathan Berant, Ido Dagan, and Jacob Goldberger. Global learning of focused entailment graphs. ACL' 10.
• Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer, and Daniel S. Weld. Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations. ACL' 11.
• Jonathan Berant, Ido Dagan and Jacob Goldberger. Global Learning of Typed Entailment Rules. ACL' 11.
• Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., and Tom M. Mitchell. 2010. Toward an architecture for neverending language learning. AAAI 2010.
• Peter LoBue and Alexander Yates. Types of Common-Sense Knowledge Needed for Recognizing Textual Entailment. ACL 2011.
• Quang Xuan Do, Yee Seng Chan, and Dan Roth. Minimally Supervised Event Causality Identification, EMNLP 2011.
• Chikara Hashimoto, Kentaro Torisawa, Kow Kuroda, Masaki Murata, and Jun'ichi Kazama. Large-Scale Verb Entailment Acquisition from the Web, EMNLP 2009