Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task

Heeyoung Lee, Yves Peirsman, Angel Chang, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

38 Scopus citations

Abstract

This paper details the coreference resolution system submitted by Stanford at the CoNLL-2011 shared task. Our system is a collection of deterministic coreference resolution models that incorporate lexical, syntactic, semantic, and discourse information. All these models use global document-level information by sharing mention attributes, such as gender and number, across mentions in the same cluster. We participated in both the open and closed tracks and submitted results using both predicted and gold mentions. Our system was ranked first in both tracks, with a score of 57.8 in the closed track and 58.3 in the open track.

Original languageEnglish (US)
Title of host publicationCoNLL 2011 - 15th Conference on Computational Natural Language Learning
Subtitle of host publicationShared Task, Proceedings
EditorsSameer Pradhan
PublisherAssociation for Computational Linguistics (ACL)
Pages28-34
Number of pages7
ISBN (Electronic)9781937284084
StatePublished - 2022
Externally publishedYes
Event15th Conference on Computational Natural Language Learning, CoNLL 2011 - Portland, OR, United States
Duration: Jun 23 2011Jun 24 2011

Publication series

NameCoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings

Other

Other15th Conference on Computational Natural Language Learning, CoNLL 2011
Country/TerritoryUnited States
CityPortland, OR
Period6/23/116/24/11

ASJC Scopus subject areas

  • Software
  • Language and Linguistics
  • Computational Theory and Mathematics
  • Computer Science Applications

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