Utilizing Review Summarization in a Spoken Recommendation System
In this paper we present a framework for spoken recommendation systems. To provide reliable recommendations to users, we incorporate a review summarization technique which extracts informative opinion summaries from grass-roots users‘ reviews. The dialogue system then utilizes these review summ...
Main Authors: | Liu, Jingjing, Seneff, Stephanie, Zue, Victor |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Association for Computational Linguistics
2011
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Online Access: | http://hdl.handle.net/1721.1/62198 https://orcid.org/0000-0003-2602-0862 https://orcid.org/0000-0001-8191-1049 |
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