Phrase pair classification for identifying subtopics

Sujatha Das; Prasenjit Mitra; C. Lee Giles

doi:10.1007/978-3-642-28997-2_48

Phrase pair classification for identifying subtopics

Sujatha Das, Prasenjit Mitra, C. Lee Giles

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

4 Scopus citations

Abstract

Automatic identification of subtopics for a given topic is desirable because it eliminates the need for manual construction of domain-specific topic hierarchies. In this paper, we design features based on corpus statistics to design a classifier for identifying the (subtopic, topic) links between phrase pairs. We combine these features along with the commonly-used syntactic patterns to classify phrase pairs from datasets in Computer Science and WordNet. In addition, we show a novel application of our is-a-subtopic-of classifier for query expansion in Expert Search and compare it with pseudo-relevance feedback.

Original language	English (US)
Title of host publication	Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings
Pages	489-493
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-642-28997-2_48
State	Published - 2012
Event	34th European Conference on Information Retrieval, ECIR 2012 - Barcelona, Spain Duration: Apr 1 2012 → Apr 5 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7224 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	34th European Conference on Information Retrieval, ECIR 2012
Country/Territory	Spain
City	Barcelona
Period	4/1/12 → 4/5/12

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-28997-2_48

Cite this

Das, S., Mitra, P., & Lee Giles, C. (2012). Phrase pair classification for identifying subtopics. In Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings (pp. 489-493). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7224 LNCS). https://doi.org/10.1007/978-3-642-28997-2_48

@inproceedings{a19c1626b27f4baaaa70703eec9be05c,

title = "Phrase pair classification for identifying subtopics",

abstract = "Automatic identification of subtopics for a given topic is desirable because it eliminates the need for manual construction of domain-specific topic hierarchies. In this paper, we design features based on corpus statistics to design a classifier for identifying the (subtopic, topic) links between phrase pairs. We combine these features along with the commonly-used syntactic patterns to classify phrase pairs from datasets in Computer Science and WordNet. In addition, we show a novel application of our is-a-subtopic-of classifier for query expansion in Expert Search and compare it with pseudo-relevance feedback.",

author = "Sujatha Das and Prasenjit Mitra and {Lee Giles}, C.",

year = "2012",

doi = "10.1007/978-3-642-28997-2_48",

language = "English (US)",

isbn = "9783642289965",

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

pages = "489--493",

booktitle = "Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings",

note = "34th European Conference on Information Retrieval, ECIR 2012 ; Conference date: 01-04-2012 Through 05-04-2012",

}

Das, S, Mitra, P & Lee Giles, C 2012, Phrase pair classification for identifying subtopics. in Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7224 LNCS, pp. 489-493, 34th European Conference on Information Retrieval, ECIR 2012, Barcelona, Spain, 4/1/12. https://doi.org/10.1007/978-3-642-28997-2_48

Phrase pair classification for identifying subtopics. / Das, Sujatha; Mitra, Prasenjit; Lee Giles, C.
Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings. 2012. p. 489-493 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7224 LNCS).

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

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T1 - Phrase pair classification for identifying subtopics

AU - Das, Sujatha

AU - Mitra, Prasenjit

AU - Lee Giles, C.

PY - 2012

Y1 - 2012

N2 - Automatic identification of subtopics for a given topic is desirable because it eliminates the need for manual construction of domain-specific topic hierarchies. In this paper, we design features based on corpus statistics to design a classifier for identifying the (subtopic, topic) links between phrase pairs. We combine these features along with the commonly-used syntactic patterns to classify phrase pairs from datasets in Computer Science and WordNet. In addition, we show a novel application of our is-a-subtopic-of classifier for query expansion in Expert Search and compare it with pseudo-relevance feedback.

AB - Automatic identification of subtopics for a given topic is desirable because it eliminates the need for manual construction of domain-specific topic hierarchies. In this paper, we design features based on corpus statistics to design a classifier for identifying the (subtopic, topic) links between phrase pairs. We combine these features along with the commonly-used syntactic patterns to classify phrase pairs from datasets in Computer Science and WordNet. In addition, we show a novel application of our is-a-subtopic-of classifier for query expansion in Expert Search and compare it with pseudo-relevance feedback.

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DO - 10.1007/978-3-642-28997-2_48

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

SP - 489

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BT - Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings

T2 - 34th European Conference on Information Retrieval, ECIR 2012

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Das S, Mitra P, Lee Giles C. Phrase pair classification for identifying subtopics. In Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings. 2012. p. 489-493. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-28997-2_48

Phrase pair classification for identifying subtopics

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