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Inference protocols for coreference resolution

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Dan RothAuthors Info & Claims

CONLL Shared Task '11: Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task

Pages 40 - 44

Published: 23 June 2011 Publication History

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Abstract

This paper presents Illinois-Coref, a system for coreference resolution that participated in the CoNLL-2011 shared task. We investigate two inference methods, Best-Link and All-Link, along with their corresponding, pairwise and structured, learning protocols. Within these, we provide a flexible architec-ture for incorporating linguistically-motivated constraints, several of which we developed and integrated. We compare and evaluate the inference approaches and the contribution of constraints, analyze the mistakes of the system, and discuss the challenges of resolving coreference for the OntoNotes-4.0 data set.

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Cited By

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Zelaia AArregi OSierra B(2015)Combining Singular Value Decomposition and a multi-classifierEngineering Applications of Artificial Intelligence10.1016/j.engappai.2015.09.00746:PA(279-286)Online publication date: 1-Nov-2015
https://dl.acm.org/doi/10.1016/j.engappai.2015.09.007
Jindal PRoth DGunter CBaldi PWang W(2014)Joint inference for end-to-end coreference resolution for clinical notesProceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics10.1145/2649387.2649437(192-201)Online publication date: 20-Sep-2014
https://dl.acm.org/doi/10.1145/2649387.2649437
Shou HZhao H(2012)Hybrid rule-based algorithm for coreference resolutionJoint Conference on EMNLP and CoNLL - Shared Task10.5555/2391181.2391197(118-121)Online publication date: 13-Jul-2012
https://dl.acm.org/doi/10.5555/2391181.2391197
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Inference protocols for coreference resolution
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Power and energy
    1. Power estimation and optimization

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CONLL Shared Task '11: Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task

June 2011

147 pages

ISBN:9781937284084

Program Chair:
Sameer Pradhan
BBN Technologies, Cambridge

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Association for Computational Linguistics

United States

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Published: 23 June 2011

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Zelaia AArregi OSierra B(2015)Combining Singular Value Decomposition and a multi-classifierEngineering Applications of Artificial Intelligence10.1016/j.engappai.2015.09.00746:PA(279-286)Online publication date: 1-Nov-2015
https://dl.acm.org/doi/10.1016/j.engappai.2015.09.007
Jindal PRoth DGunter CBaldi PWang W(2014)Joint inference for end-to-end coreference resolution for clinical notesProceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics10.1145/2649387.2649437(192-201)Online publication date: 20-Sep-2014
https://dl.acm.org/doi/10.1145/2649387.2649437
Shou HZhao H(2012)Hybrid rule-based algorithm for coreference resolutionJoint Conference on EMNLP and CoNLL - Shared Task10.5555/2391181.2391197(118-121)Online publication date: 13-Jul-2012
https://dl.acm.org/doi/10.5555/2391181.2391197
Chang KSamdani RRozovskaya ASammons MRoth D(2012)Illinois-CorefJoint Conference on EMNLP and CoNLL - Shared Task10.5555/2391181.2391196(113-117)Online publication date: 13-Jul-2012
https://dl.acm.org/doi/10.5555/2391181.2391196
Yuan BChen QXiang YWang XGe LLiu ZLiao MSi X(2012)A mixed deterministic model for coreference resolutionJoint Conference on EMNLP and CoNLL - Shared Task10.5555/2391181.2391190(76-82)Online publication date: 13-Jul-2012
https://dl.acm.org/doi/10.5555/2391181.2391190
Song YJiang JZhao WLi SWang HTsujii JHenderson JPasca M(2012)Joint learning for coreference resolution with Markov logicProceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning10.5555/2390948.2391089(1245-1254)Online publication date: 12-Jul-2012
https://dl.acm.org/doi/10.5555/2390948.2391089

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Cross-Document Coreference Resolution Based on Automatic Text Summary

Mention detection in coreference resolution: survey

Joint inference for end-to-end coreference resolution for clinical notes

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