DEFT


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Mailing List: http://groups.google.com/group/ut-deft

Meeting Time & Place

We will be meeting on alternating Mondays at 11 AM. The first two meetings will be in ACES 3.116, and then we'll move to GDC (assuming it's ready).
Update: we are now meeting in GDC 3.816(south)

Scheduled Meetings

Date Time PlacePaper/Topic
Monday, Jan 14, 2013 11 AM ACES 3.116 Naomi Zeichner, Jonathan Berant and Ido Dagan. Crowdsourcing Inference-Rule Evaluation. ACL Short, 2012 (pdf)
Monday, Jan 28, 2013 11 AM ACES 3.116 Discussion of Islam's recent MLN work.
Monday, Feb 11, 2013 11 AM GDC 3.516 Dekang Lin and Patrick Pantel. DIRT - Discovery of Inference Rules from Text. KDD, 2001 (pdf)
Monday, Feb 25, 2013 11 AM GDC 3.516 Discussion of Karl's work on Statistical Script Induction.
Monday, Mar 11, 2013 - - No meeting: Spring break
Monday, Mar 18, 2013 11 AM GDC 3.516 C. Zhang, F. Niu, C. Ré, and J.W. Shavlik. Big Data versus the Crowd: Looking for Relationships in All the Right Places. ACL, 2012 (pdf)
Monday, Apr 1, 2013 11 AM GDC 3.816 Discussing our *SEM2013 paper
Monday, Apr 15, 2013 11 AM GDC 3.816 L. Kotlerman, I. Dagan, I. Szpektor, M. Zhitomirsky-Geffet. Directional distributional similarity for lexical expansion. ACL-IJCNLP, 2009 (pdf)
Monday, Apr 29, 2013 11 AM GDC 3.816 Mike Lewis, Mark Steedman. Combined Distributional and Logical Semantics. TACL, 2013
Thursday, May 16, 2013 11 AM GDC 3.816 Discussion of Katrin and Aidan's recent work on mapping the paraphrases corpus into logical form.
Thursday, May 30, 2013 11 AM GDC 3.816 Stephen H. Bach, Bert Huang, Ben London, Lise Getoor. Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. UAI, 2013 (pdf)
Thursday, June 6, 2013 11 AM GDC 3.816 Practice talk for *SEM2013 paper.
Thursday, June 27, 2013 11 AM GDC 3.816 Sebastian Riedel, Limin Yao, Andrew McCallum, Benjamin M. Marlin. Relation Extraction with Matrix Factorization and Universal Schemas. NAACL, 2013 (pdf)
Thursday, July 18, 2013 11 AM GDC 3.816 Jackie Chi Kit Cheung, Hoifung Poon, Lucy Vanderwende. Probabilistic Frame Induction. NAACL, 2013 (pdf)
Thursday, July 25, 2013 11 AM GDC 3.816 Mohammad Shahed Sorower, Thomas G. Dietterich, Janardhan Rao Doppa. Inverting Grice's Maxims to Learn Rules from Natural Language Extraction. NIPS, 2011 (pdf)

* Please send in suggestions for discussion: either your own research on DEFT topics, or new papers to discuss; also, please vote for papers from the currently proposed papers.

People

Coordinator

Faculty

Proposed Readings

1.

Jonathan Berant, Ido Dagan, Jacob Goldberger. Global Learning of Typed Entailment Rules. ACL, 2011 (pdf)
(6 points: 6 up, 0 down)
2.

Masaaki Tsuchida, Kai Ishikawa. IKOMA at TAC2011: A Method for Recognizing Textual Entailment using Lexical-level and Sentence Structure-level features. TAC, 2011 (pdf)
(3 points: 3 up, 0 down)
3.

Asher Stern, Amnon Lotan, Shachar Mirkin, Eyal Shnarch, Lili Kotlerman, Jonathan Berant and Ido Dagan. Knowledge and Tree-Edits in Learnable Entailment Proofs. TAC, 2011 (pdf)
(1 points: 1 up, 0 down)
4.

Luisa Bentivogli, Peter Clark, Ido Dagan, Hoa Dang, Danilo Giampiccolo. The seventh pascal recognizing textual entailment challenge. TAC, 2011 (pdf)
(1 points: 1 up, 0 down)
5.

M. Negri, L. Bentivogli, Y. Mehdad, D. Giampiccolo, and A. Marchetti. Divide and Conquer: Crowdsourcing the Creation of Cross-Lingual Textual Entailment Corpora. EMNLP, 2011 (pdf)
(1 points: 1 up, 0 down)
6.

Cosmin Adrian Bejan and Sanda Harabagiu. Unsupervised Event Coreference Resolution with Rich Linguistic Features. ACL, 2010 (pdf)
(1 points: 1 up, 0 down)
7.

Nathanael Chambers and Dan Jurafsky. Unsupervised Learning of Narrative Schemas and their Participants. ACL, 2009 (pdf)
(1 points: 1 up, 0 down)
8.

Cosmin Adrian Bejan. Unsupervised Discovery of Event Scenarios from Texts. FLAIRS, 2008 (pdf)
(1 points: 1 up, 0 down)
9.

Wauter Bosma and Chris Callison-Burch. Paraphrase Substitution for Recognizing Textual Entailment. CLEF, 2006 (pdf)
(1 points: 1 up, 0 down)
10.

Rajat Raina, Andrew Y. Ng, and Christopher D. Manning. Robust textual inference via learning and abductive reasoning. AAAI, 2005 (pdf)
(1 points: 1 up, 0 down)
11.

Nathanael Chambers and Dan Jurafsky. Unsupervised Learning of Narrative Event Chains. ACL, 2008 (pdf)
(0 points: 0 up, 0 down)

Please email additional paper suggestions to Islam Beltagy, email: lastname at cs dot utexas dot edu

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