Query expansion techniques for question answering

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.

Bibliographic Details
Main Author: Bilotti, Matthew W. (Matthew William), 1981-
Other Authors: Boris Katz.
Format: Thesis
Language:en_US
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/27083
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author Bilotti, Matthew W. (Matthew William), 1981-
author2 Boris Katz.
author_facet Boris Katz.
Bilotti, Matthew W. (Matthew William), 1981-
author_sort Bilotti, Matthew W. (Matthew William), 1981-
collection MIT
description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
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spelling mit-1721.1/270832019-04-10T08:35:39Z Query expansion techniques for question answering Bilotti, Matthew W. (Matthew William), 1981- Boris Katz. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (p. 105-109). Query expansion is a technique used to boost performance of a document retrieval engine, such as those commonly found in question answering (QA) systems. Common methods of query expansion for Boolean keyword-based document retrieval engines include inserting query terms, such as alternate inflectional or derivational forms generated from existing query terms, or dropping query terms that are, for example, deemed to be too restrictive. In this thesis, I present a quantitative evaluation against a test; collection of my own design of five query expansion techniques, two term expansion methods and three term-dropping strategies. I present results that show that there exist best-performing query expansion algorithms that can be ex- perimentally optimized for specific tasks. My findings pose questions that suggest interesting avenues for further study of query expansion algorithms. by Matthew W. Bilotti. M.Eng. 2005-09-06T21:39:24Z 2005-09-06T21:39:24Z 2004 2004 Thesis http://hdl.handle.net/1721.1/27083 56820766 en_US M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 109 p. 5751699 bytes 5764839 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Bilotti, Matthew W. (Matthew William), 1981-
Query expansion techniques for question answering
title Query expansion techniques for question answering
title_full Query expansion techniques for question answering
title_fullStr Query expansion techniques for question answering
title_full_unstemmed Query expansion techniques for question answering
title_short Query expansion techniques for question answering
title_sort query expansion techniques for question answering
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/27083
work_keys_str_mv AT bilottimatthewwmatthewwilliam1981 queryexpansiontechniquesforquestionanswering