WebSAIL wikifier at ERD 2014

Thanapon Noraset; Chandra Sekhar Bhagavatula; Douglas C Downey

doi:10.1145/2633211.2639489

WebSAIL wikifier at ERD 2014

Thanapon Noraset^*, Chandra Sekhar Bhagavatula, Douglas C Downey

^*Corresponding author for this work

Computer Science

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

5 Scopus citations

Abstract

In this paper, we report on our participation in Entity Recognition and Disambiguation Challenge 2014. We present WebSAIL Wikifier, an entity recognition and disambiguation system that identifies and links textual mentions to their referent entities in Wikipedia and later maps to the ERD set of target entities. WebSAIL Wikifier can handle both short text and long text queries. The system uses hybrid rule-based NER to discover mentions and a supervised machine learning approach to disambiguate their entities. The system achieves F1 of 0:641 and 0:687 on short track and long track respectively.

Original language	English (US)
Title of host publication	ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014
Publisher	Association for Computing Machinery, Inc
Pages	119-124
Number of pages	6
ISBN (Electronic)	9781450330237
DOIs	https://doi.org/10.1145/2633211.2639489
State	Published - 2014
Event	1st ACM International Workshop on Entity Recognition and Disambiguation, ERD 2014 - Co-located with SIGIR 2014 - Gold Coast, Australia Duration: Jul 11 2014 → Jul 11 2014

Publication series

Name	ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014

Other

Other	1st ACM International Workshop on Entity Recognition and Disambiguation, ERD 2014 - Co-located with SIGIR 2014
Country/Territory	Australia
City	Gold Coast
Period	7/11/14 → 7/11/14

Keywords

Entity linking
Information extraction
Name entity disambiguation
Name entity recognition

ASJC Scopus subject areas

Software
Information Systems
Computational Theory and Mathematics

Access to Document

10.1145/2633211.2639489

Cite this

Noraset, T., Bhagavatula, C. S., & Downey, D. C. (2014). WebSAIL wikifier at ERD 2014. In ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014 (pp. 119-124). (ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014). Association for Computing Machinery, Inc. https://doi.org/10.1145/2633211.2639489

Noraset, Thanapon ; Bhagavatula, Chandra Sekhar ; Downey, Douglas C. / WebSAIL wikifier at ERD 2014. ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014. Association for Computing Machinery, Inc, 2014. pp. 119-124 (ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014).

@inproceedings{70091ff3c21f4875ac88428fd17e26a5,

title = "WebSAIL wikifier at ERD 2014",

abstract = "In this paper, we report on our participation in Entity Recognition and Disambiguation Challenge 2014. We present WebSAIL Wikifier, an entity recognition and disambiguation system that identifies and links textual mentions to their referent entities in Wikipedia and later maps to the ERD set of target entities. WebSAIL Wikifier can handle both short text and long text queries. The system uses hybrid rule-based NER to discover mentions and a supervised machine learning approach to disambiguate their entities. The system achieves F1 of 0:641 and 0:687 on short track and long track respectively.",

keywords = "Entity linking, Information extraction, Name entity disambiguation, Name entity recognition",

author = "Thanapon Noraset and Bhagavatula, {Chandra Sekhar} and Downey, {Douglas C}",

year = "2014",

doi = "10.1145/2633211.2639489",

language = "English (US)",

series = "ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014",

publisher = "Association for Computing Machinery, Inc",

pages = "119--124",

booktitle = "ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014",

note = "1st ACM International Workshop on Entity Recognition and Disambiguation, ERD 2014 - Co-located with SIGIR 2014 ; Conference date: 11-07-2014 Through 11-07-2014",

}

Noraset, T, Bhagavatula, CS & Downey, DC 2014, WebSAIL wikifier at ERD 2014. in ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014. ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014, Association for Computing Machinery, Inc, pp. 119-124, 1st ACM International Workshop on Entity Recognition and Disambiguation, ERD 2014 - Co-located with SIGIR 2014, Gold Coast, Australia, 7/11/14. https://doi.org/10.1145/2633211.2639489

WebSAIL wikifier at ERD 2014. / Noraset, Thanapon; Bhagavatula, Chandra Sekhar; Downey, Douglas C.
ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014. Association for Computing Machinery, Inc, 2014. p. 119-124 (ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014).

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

TY - GEN

T1 - WebSAIL wikifier at ERD 2014

AU - Noraset, Thanapon

AU - Bhagavatula, Chandra Sekhar

AU - Downey, Douglas C

PY - 2014

Y1 - 2014

N2 - In this paper, we report on our participation in Entity Recognition and Disambiguation Challenge 2014. We present WebSAIL Wikifier, an entity recognition and disambiguation system that identifies and links textual mentions to their referent entities in Wikipedia and later maps to the ERD set of target entities. WebSAIL Wikifier can handle both short text and long text queries. The system uses hybrid rule-based NER to discover mentions and a supervised machine learning approach to disambiguate their entities. The system achieves F1 of 0:641 and 0:687 on short track and long track respectively.

AB - In this paper, we report on our participation in Entity Recognition and Disambiguation Challenge 2014. We present WebSAIL Wikifier, an entity recognition and disambiguation system that identifies and links textual mentions to their referent entities in Wikipedia and later maps to the ERD set of target entities. WebSAIL Wikifier can handle both short text and long text queries. The system uses hybrid rule-based NER to discover mentions and a supervised machine learning approach to disambiguate their entities. The system achieves F1 of 0:641 and 0:687 on short track and long track respectively.

KW - Entity linking

KW - Information extraction

KW - Name entity disambiguation

KW - Name entity recognition

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U2 - 10.1145/2633211.2639489

DO - 10.1145/2633211.2639489

M3 - Conference contribution

AN - SCOPUS:84908637146

T3 - ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014

SP - 119

EP - 124

BT - ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014

PB - Association for Computing Machinery, Inc

T2 - 1st ACM International Workshop on Entity Recognition and Disambiguation, ERD 2014 - Co-located with SIGIR 2014

Y2 - 11 July 2014 through 11 July 2014

ER -

Noraset T, Bhagavatula CS, Downey DC. WebSAIL wikifier at ERD 2014. In ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014. Association for Computing Machinery, Inc. 2014. p. 119-124. (ERD 2014 - Proceedings of the 1st ACM International Workshop on Entity Recognition and Disambiguation, Co-located with SIGIR 2014). doi: 10.1145/2633211.2639489

WebSAIL wikifier at ERD 2014

Abstract

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Keywords

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