Statistical entity ranking with domain knowledge

Xiao Bo Jin; Guang Gang Geng; Kaizhu Huang; Zhi Wei Yan

doi:10.1007/978-3-319-50496-4_73

Statistical entity ranking with domain knowledge

Xiao Bo Jin, Guang Gang Geng^*, Kaizhu Huang, Zhi Wei Yan

^*Corresponding author for this work

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

Abstract

Entity search is a new application meeting either precise or vague requirements from the search engines users. Baidu Cup 2016 Challenge just provided such a chance to tackle the problem of the entity search. We achieved the first place with the average MAP scores on 4 tasks including movie, tvShow, celebrity and restaurant. In this paper, we propose a series of similarity features based on both of the word frequency features and the word semantic features and describe our ranking architecture and experiment details.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Place of Publication	Natural Language Understanding and Intelligent Applications
Publisher	Springer Verlag
Pages	811-818
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-319-50496-4_73
Publication status	Published - 1 Dec 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10102
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Domain knowledge
Entity search
Similarity features
Statistical features

Access to Document

10.1007/978-3-319-50496-4_73

Cite this

Jin, X. B., Geng, G. G., Huang, K., & Yan, Z. W. (2016). Statistical entity ranking with domain knowledge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 811-818). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10102). Springer Verlag. https://doi.org/10.1007/978-3-319-50496-4_73

Jin, Xiao Bo ; Geng, Guang Gang ; Huang, Kaizhu et al. / Statistical entity ranking with domain knowledge. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Natural Language Understanding and Intelligent Applications : Springer Verlag, 2016. pp. 811-818 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Statistical entity ranking with domain knowledge",

abstract = "Entity search is a new application meeting either precise or vague requirements from the search engines users. Baidu Cup 2016 Challenge just provided such a chance to tackle the problem of the entity search. We achieved the first place with the average MAP scores on 4 tasks including movie, tvShow, celebrity and restaurant. In this paper, we propose a series of similarity features based on both of the word frequency features and the word semantic features and describe our ranking architecture and experiment details.",

keywords = "Domain knowledge, Entity search, Similarity features, Statistical features",

author = "Jin, {Xiao Bo} and Geng, {Guang Gang} and Kaizhu Huang and Yan, {Zhi Wei}",

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year = "2016",

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day = "1",

doi = "10.1007/978-3-319-50496-4_73",

language = "English",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Jin, XB, Geng, GG, Huang, K & Yan, ZW 2016, Statistical entity ranking with domain knowledge. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10102, Springer Verlag, Natural Language Understanding and Intelligent Applications, pp. 811-818. https://doi.org/10.1007/978-3-319-50496-4_73

Statistical entity ranking with domain knowledge. / Jin, Xiao Bo; Geng, Guang Gang; Huang, Kaizhu et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Natural Language Understanding and Intelligent Applications: Springer Verlag, 2016. p. 811-818 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10102).

Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Statistical entity ranking with domain knowledge

AU - Jin, Xiao Bo

AU - Geng, Guang Gang

AU - Huang, Kaizhu

AU - Yan, Zhi Wei

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016/12/1

Y1 - 2016/12/1

N2 - Entity search is a new application meeting either precise or vague requirements from the search engines users. Baidu Cup 2016 Challenge just provided such a chance to tackle the problem of the entity search. We achieved the first place with the average MAP scores on 4 tasks including movie, tvShow, celebrity and restaurant. In this paper, we propose a series of similarity features based on both of the word frequency features and the word semantic features and describe our ranking architecture and experiment details.

AB - Entity search is a new application meeting either precise or vague requirements from the search engines users. Baidu Cup 2016 Challenge just provided such a chance to tackle the problem of the entity search. We achieved the first place with the average MAP scores on 4 tasks including movie, tvShow, celebrity and restaurant. In this paper, we propose a series of similarity features based on both of the word frequency features and the word semantic features and describe our ranking architecture and experiment details.

KW - Domain knowledge

KW - Entity search

KW - Similarity features

KW - Statistical features

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U2 - 10.1007/978-3-319-50496-4_73

DO - 10.1007/978-3-319-50496-4_73

M3 - Chapter

AN - SCOPUS:85004024873

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 811

EP - 818

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Verlag

CY - Natural Language Understanding and Intelligent Applications

ER -

Jin XB, Geng GG, Huang K, Yan ZW. Statistical entity ranking with domain knowledge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Natural Language Understanding and Intelligent Applications: Springer Verlag. 2016. p. 811-818. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-50496-4_73

Statistical entity ranking with domain knowledge

Abstract

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