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

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 proceeding › Conference contribution

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 language	English (US)
Title of host publication	CoNLL 2011 - 15th Conference on Computational Natural Language Learning
Subtitle of host publication	Shared Task, Proceedings
Editors	Sameer Pradhan
Publisher	Association for Computational Linguistics (ACL)
Pages	28-34
Number of pages	7
ISBN (Electronic)	9781937284084
State	Published - 2022
Externally published	Yes
Event	15th Conference on Computational Natural Language Learning, CoNLL 2011 - Portland, OR, United States Duration: Jun 23 2011 → Jun 24 2011

Publication series

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

Other

Other	15th Conference on Computational Natural Language Learning, CoNLL 2011
Country/Territory	United States
City	Portland, OR
Period	6/23/11 → 6/24/11

ASJC Scopus subject areas

Software
Language and Linguistics
Computational Theory and Mathematics
Computer Science Applications

Cite this

Lee, H., Peirsman, Y., Chang, A., Chambers, N., Surdeanu, M., & Jurafsky, D. (2022). Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task. In S. Pradhan (Ed.), CoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings (pp. 28-34). (CoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings). Association for Computational Linguistics (ACL).

Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task. / Lee, Heeyoung; Peirsman, Yves; Chang, Angel et al.
CoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings. ed. / Sameer Pradhan. Association for Computational Linguistics (ACL), 2022. p. 28-34 (CoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, H, Peirsman, Y, Chang, A, Chambers, N, Surdeanu, M & Jurafsky, D 2022, Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task. in S Pradhan (ed.), CoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings. CoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings, Association for Computational Linguistics (ACL), pp. 28-34, 15th Conference on Computational Natural Language Learning, CoNLL 2011, Portland, OR, United States, 6/23/11.

Lee H, Peirsman Y, Chang A, Chambers N, Surdeanu M, Jurafsky D. Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task. In Pradhan S, editor, CoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings. Association for Computational Linguistics (ACL). 2022. p. 28-34. (CoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings).

Lee, Heeyoung ; Peirsman, Yves ; Chang, Angel et al. / Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task. CoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings. editor / Sameer Pradhan. Association for Computational Linguistics (ACL), 2022. pp. 28-34 (CoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings).

@inproceedings{de032b47bd7140a28c82d35e2c7dad8d,

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

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.",

author = "Heeyoung Lee and Yves Peirsman and Angel Chang and Nathanael Chambers and Mihai Surdeanu and Dan Jurafsky",

note = "Publisher Copyright: {\textcopyright} 2011 Association for Computational Linguistics; 15th Conference on Computational Natural Language Learning, CoNLL 2011 ; Conference date: 23-06-2011 Through 24-06-2011",

year = "2022",

language = "English (US)",

series = "CoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings",

publisher = "Association for Computational Linguistics (ACL)",

pages = "28--34",

editor = "Sameer Pradhan",

booktitle = "CoNLL 2011 - 15th Conference on Computational Natural Language Learning",

}

TY - GEN

T1 - Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task

AU - Lee, Heeyoung

AU - Peirsman, Yves

AU - Chang, Angel

AU - Chambers, Nathanael

AU - Surdeanu, Mihai

AU - Jurafsky, Dan

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85123308499&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85123308499&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85123308499

T3 - CoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings

SP - 28

EP - 34

BT - CoNLL 2011 - 15th Conference on Computational Natural Language Learning

A2 - Pradhan, Sameer

PB - Association for Computational Linguistics (ACL)

T2 - 15th Conference on Computational Natural Language Learning, CoNLL 2011

Y2 - 23 June 2011 through 24 June 2011

ER -

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

Abstract

Publication series

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this