PPT-Lecture 16: Coreference Resolution

Author : jacey | Published Date : 2023-11-04

Determining who is who and what is what Harvard IACS Chris Tanner 2 COREFERENCE RESOLUTIONARY You would rather have a Lexus or justice A dream or some substance

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Lecture 16: Coreference Resolution: Transcript


Determining who is who and what is what Harvard IACS Chris Tanner 2 COREFERENCE RESOLUTIONARY You would rather have a Lexus or justice A dream or some substance A Bimmer a necklace or freedom. . Centric. . Coreference Resolution with Model Stacking. Kevin Clark and Christopher D. Manning. (ACL-IJCNLP 2015). (Tables are taken from the above-mentioned paper). Presented by Mamoru Komachi. <komachi@tmu.ac.jp>. -Lingual ILP Solution to Zero Anaphora Resolution. Ryu Iida & Massimo Poesio (ACL-HLT 2011). Zero-anaphora resolution. Anaphoric function in which phonetic realization of anaphors is not required in. Massimo Poesio. Lecture . 7: Anaphora resolution. (. Coreference. ). Anaphora resolution: . the . problem. Anaphora resolution:. coreference chains. Factors . that affect the interpretation of anaphoric expressions. Resolution. Seminar by. Satpreet Arora (07D05003). What is . Coreference. ?. In linguistics, . co-reference.  occurs when multiple expressions in a sentence or document refer to the same entity.. Resolution. and. Generalized Inverses. Syllabus. Lecture 01 Describing Inverse Problems. Lecture 02 Probability and Measurement Error, Part 1. Lecture 03 Probability and Measurement Error, Part 2 . with Knowledge. Haoruo. . Peng. March. . 20,. . 2015. 1. Coreference Problem. 2. Coreference Problem. 3. Online. . Demo. Please. . check. . out. http. ://cogcomp.cs.illinois.edu/page/demo_view/. Pascal Denis. ALPAGE Project Team. INRIA . Rocquencourt. F-78153 Le . Chesnay. , France. Jason . Baldridge. Department of Linguistics. University of Texas at Austin. In Proceedings of EMNLP-2008. 1. Yi-Ting Huang. Backus-Gilbert Generalized Inverse and the Trade Off of Resolution and Variance. Syllabus. Lecture 01 Describing Inverse Problems. Lecture 02 Probability and Measurement Error, Part 1. Lecture 03 Probability and Measurement Error, Part 2 . Continuous Problems:. Backus-Gilbert Theory. and. Radon’s Problem. Syllabus. Lecture 01 Describing Inverse Problems. Lecture 02 Probability and Measurement Error, Part 1. Lecture 03 Probability and Measurement Error, Part 2 . Kai-Wei Chang, Rajhans Samdani. , . Alla . Rozovskaya, . Mark Sammons. , and Dan Roth. . Supported . by . ARL, . and by . DARPA, . under the Machine Reading Program. Coreference. Illinois-Coref: The UI System in the CoNLL-2012 Shared Task Kai-Wei Chang, Rajhans Samdani , Alla Rozovskaya, Mark Sammons , and Dan Roth 1. Intelligent Systems (AI-2). Computer Science cpsc422, Lecture 31. Nov, 22, 2019. Slide source: . from Pedro . Domingos. UW & Markov Logic: An Interface Layer for Artificial Intelligence Pedro . D. Day. 1. , J. Hitzeman. 1. , M. Wick. 2. , K. Crouch. 1. . and M. Poesio. 3. 1. The MITRE Corporation. 2. University of Massachusetts, Amherst. 3. Universities of Essex and Trento. Approved for public release. . Generalized Inverses. Syllabus. Lecture 01 Describing Inverse Problems. Lecture 02 Probability and Measurement Error, Part 1. Lecture 03 Probability and Measurement Error, Part 2 . Lecture 04 The L.

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