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Design of a Low‐Cost Adaptive Question Answering System for Closed Domain Factoid Queries

Title: Design of a Low‐Cost Adaptive Question Answering System for Closed Domain Factoid Queries.
Name(s): Toh, Huey Ling, 1975-, author
Hawkes, Lois Wright, professor directing dissertation
Dougherty, Ralph, university representative
Lacher, R.C., committee member
Baker, Theodore, committee member
Schwartz, Daniel, committee member
Department of Computer Science, degree granting department
Florida State University, degree granting institution
Type of Resource: text
Genre: Text
Issuance: monographic
Date Issued: 2010
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: Closed domain question answering (QA) systems achieve precision and recall at the cost of complex language processing techniques to parse the answer corpus. We propose a query-based model for indexing answers in a closed domain factoid QA system. Further, we use a phrase term inference method for improving the ranking order of related questions. We posit that a query can be used as the unique identifier of an answer, and thus, the recognition of a query allows us to retrieve the correct answer. In instances where a query is unrecognized, we infer synonymous relationships with other queries through the use of a user feedback loop to improve the ranking order of closely related questions, where possible. The goal of this research is to build a prototype as proof-of-concept that will learn domain-specific knowledge with increased usage through time. This study will focus its efforts in researching the feasibility of a lightweight QA learning system that adapts its responses based on the interaction amongst its users. This offers a lightweight approach to a factoid question answering system for domain specific knowledge bases with significantly simplified language processing techniques.
Identifier: FSU_migr_etd-1289 (IID)
Submitted Note: A Dissertation submitted to the Department of Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
Degree Awarded: Spring Semester, 2010.
Date of Defense: February 26, 2010.
Keywords: Query-Based Indexing, Adaptive Factoid Question Answering, Closed Domain, e-Learning
Bibliography Note: Includes bibliographical references.
Advisory Committee: Lois Wright Hawkes, Professor Directing Dissertation; Ralph Dougherty, University Representative; R.C. Lacher, Committee Member; Theodore Baker, Committee Member; Daniel Schwartz, Committee Member.
Subject(s): Computer science
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Owner Institution: FSU

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Toh, H. L. (2010). Design of a Low‐Cost Adaptive Question Answering System for Closed Domain Factoid Queries. Retrieved from