Topic Level Disambiguation for Weak Queries Public Deposited

http://ir.library.oregonstate.edu/concern/articles/x346d6184

This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by the Author(s) and published by the Korea Institute of Science and Technology Information. It can be found at:  http://www.jistap.org/journal.do?method=currentIssue&journalSeq=J000043&menuId=&introMenuId=0201

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • Despite limited success, today’s information retrieval (IR) systems are not intelligent and reliable. IR systems return poor search results when users formulate their information needs into incomplete or ambiguous queries (i.e., weak queries). Therefore, one of the main challenges in modern IR research is to provide consistent results across all queries by improving the performance on weak queries. However, existing IR approaches such as query expansion are not overly effective because they make little effort to analyze and exploit the meanings of the queries. Furthermore, word sense disambiguation approaches, which rely on textual context, are ineffective against weak queries that are typically short. Motivated by the demand for a robust IR system that can consistently provide highly accurate results, the proposed study implemented a novel topic detection that leverage both language model and structural knowledge of Wikipedia and systematically evaluated the effect of query disambiguation and topic-based retrieval approaches on TREC collections. The results confirm the effectiveness of proposed topic detection and topic-based retrieval approaches but also demonstrate that query disambiguation does not improve IR as expected.
Resource Type
DOI
Date Available
Date Issued
Citation
  • Zhang, H., Yang, K., & Jacob, E. (2013). Topic Level Disambiguation for Weak Queries. Journal of Information Science Theory and Practice, 1(3), 33-46. doi:10.1633/JISTaP.2013.1.3.3
Series
Keyword
Rights Statement
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Approved for entry into archive by Erin Clark(clarkeri) on 2015-03-01T05:19:54Z (GMT) No. of bitstreams: 2 zhanghu966190347.zip: 467605 bytes, checksum: bd49ce5105041a585c2766c3c8c907e9 (MD5) Zhang_JISTap_2013_Manuscript.pdf: 501663 bytes, checksum: 9089ccfeecb143cff8dd9186bb1c3268 (MD5)
  • description.provenance : Made available in DSpace on 2015-03-01T05:19:54Z (GMT). No. of bitstreams: 2 zhanghu966190347.zip: 467605 bytes, checksum: bd49ce5105041a585c2766c3c8c907e9 (MD5) Zhang_JISTap_2013_Manuscript.pdf: 501663 bytes, checksum: 9089ccfeecb143cff8dd9186bb1c3268 (MD5) Previous issue date: 2013-09
  • description.provenance : Submitted by Open Access (openaccess@library.oregonstate.edu) on 2015-03-01T05:13:19Z No. of bitstreams: 1 Zhang_JISTap_2013_Manuscript.pdf: 501663 bytes, checksum: 9089ccfeecb143cff8dd9186bb1c3268 (MD5)

Relationships

Parents:

This work has no parents.

Last modified

Downloadable Content

Download PDF

Items