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．

2014年度 †

日時

毎週火曜日 15:00-

主な参加者

岡崎，田，高瀬，代勤，貴大，田中，スミット，小松

予定・記録 †

• 2/25(水): 14:00-
  • 小松: 卒論発表会練習 🔒内部資料
  • スミット:卒論発表会練習 🔒内部資料

• 2/16(月): 10:30-
  • 代勤: Slides🔒内部資料 paper1🔒内部資料 paper2 🔒内部資料

• 2/9(月): 10:30-
  • スミット: AAAI summary 🔒内部資料　言語処理学会に提出した論文 🔒内部資料

• 2/4(水): 10:30-
  • 高瀬: Omri Abend, Shay B. Cohen, Mark Steedman, Lexical Inference over Multi-Word Predicates: A Distributional Approach., ACL2014 🔒内部資料

• 1/26(月): 10:30-
  • 田中: 進捗報告: 🔒内部資料

• 1/22(木): 15:00-
  • 田: 進捗報告: 🔒内部資料
  • 小松: 進捗報告: 🔒内部資料

• 1/14(水): 10:30-
  • 代勤: 進捗報告: 🔒内部資料
  • 岡崎: 論文輪読: Jeffrey Pennington, Richard Socher, Christopher and D. Manning. (2014) GloVe: Global Vectors for Word Representation. EMNLP 2014, pages 1532–1543. 論文 🔒内部資料
  • 岡崎: 🔒進捗（内部only）

• 1/5(月): 10:30-
  • 高瀬: 機能動詞の行列表現 🔒内部資料
  • スミット: 進捗報告 🔒内部資料

• 12/22 (月)
  • 佐藤 : 進捗報告 🔒内部資料
  • 田中 : 論文輪読: Danqui Chen, Christopher D. Manning A Fast and Accurate Dependency Parser using Neural Networks EMNLP2014 🔒内部資料

• 12/15 (月)
  • スミット: 進捗報告 🔒内部資料
  • 小松 : 進捗報告 🔒内部資料

• 12/8 (月)
  • 田：進捗 Additive Compositionality of Logarithmic Context Vectors 🔒内部資料
  • 高瀬：論文輪読: Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, Christopher D. Manning . Modeling Biological Processes for Reading Comprehension. EMNLP 2014. 🔒内部資料

• 12/3 (水)
  • 田中 : 進捗報告 🔒内部資料

• 11/26（水）
  • 岡崎：論文輪読: Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, Andrew McCallum. (2014) Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space. EMNLP-2014. 🔒内部資料
  • 代勤：進捗報告: 🔒内部資料

• 11/17（月）
  • 小松：進捗報告 🔒内部資料

• 11/10（月）
  • スミット：論文輪読 🔒内部資料 http://clic.cimec.unitn.it/strudel/materials/strudel.pdf

• 11/7（金）
  • 高瀬：関係パタンの構成性の学習 🔒内部資料
  • 佐藤（貴）：進捗報告 🔒内部資料

• 10/27（月）
  • 佐藤（貴）：進捗報告🔒内部資料

• 10/20（月）
  • 代勤：論文輪読: Anselmo Peñas and Eduard Hovy. Filling Knowledge Gaps in Text for Machine Reading. Coling 2010.🔒論文 🔒Slides

• 10/16（水）
  • 小松：進捗報告 🔒内部資料

• 10/7(火)
  • スミット: 進捗報告 🔒内部資料

• 9/26(金)
  • 高瀬: 論文輪読 D.Yogatama et al., Learning Word Representations with Hierarchical Sparse Coding. 🔒内部資料

• 9/16(火)
  • 佐藤(貴): 進捗報告 🔒内部資料

• 7/23(水)
  • 佐藤(貴) : 🔒内部資料

• 7/17(木)
  • 田
  • 高瀬: 論文輪読: Marco Baroni, Georgiana Dinu,German Kruszewski. Don’t count, predict!A systematic comparison of context-counting vs. context-predicting semantic vectors. ACL2014 🔒内部資料

• 7/8(火)
  • 岡崎: 論文輪読: Liwei Chen, Yansong Feng, Songfang Huang, Yong Qin, and Dongyan Zhao. Encoding Relation Requirements for Relation Extraction via Joint Inference. ACL-2014. 論文 🔒内部資料

• 6/17(火)
  • 高瀬: 論文輪読 Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, Luke Zettlemoyer. "Scaling Semantic Parsers with On-the-fly Ontology Matching" EMNLP2013. 🔒内部資料

• 田: 発表練習 🔒内部資料

• 6/10(火)
  • 代勤: 進捗報告 🔒内部資料

• 5/27(火)
  • 岡崎: 進捗報告 Word2vecの高速化 🔒内部資料

• 5/13(火)
  • 代勤: 論文輪読 Kenneth Bloom, Navendu Garg and Shlomo Argamon. "Extracting Appraisal Expressions". NAACL HLT 2007. Slides: 🔒内部資料 Paper: 🔒内部資料

• 4/22(火)
  • 高瀬: 進捗報告 🔒内部資料
• 4/17(木)
  • 岡崎・高瀬: イントロダクション 🔒内部資料

参考文献 †

チュートリアル・招待講演 †

• Fabian M. Suchanek, Martin Theobald, Gerhard Weikum, Hady W. Lauw and Ralf Schenkel. Semantic Knowledge Bases from Web Sources. IJCAI 2011.
• 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