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...
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Other Authors: | |
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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author | Liu, Jingjing Seneff, Stephanie Zue, Victor |
author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Liu, Jingjing Seneff, Stephanie Zue, Victor |
author_sort | Liu, Jingjing |
collection | MIT |
description | 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 summaries to
support both quality-based opinion inquiry and feature-
specific entity search. We propose a probabilistic
language generation approach to automatically creating
recommendations in spoken natural language
from the text-based opinion summaries. A user study
in the restaurant domain shows that the proposed approaches
can effectively generate reliable and helpful
recommendations in human-computer conversations. |
first_indexed | 2024-09-23T10:00:50Z |
format | Article |
id | mit-1721.1/62198 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T10:00:50Z |
publishDate | 2011 |
publisher | Association for Computational Linguistics |
record_format | dspace |
spelling | mit-1721.1/621982022-09-26T15:09:42Z Utilizing Review Summarization in a Spoken Recommendation System Liu, Jingjing Seneff, Stephanie Zue, Victor Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Zue, Victor Liu, Jingjing Seneff, Stephanie Zue, Victor 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 summaries to support both quality-based opinion inquiry and feature- specific entity search. We propose a probabilistic language generation approach to automatically creating recommendations in spoken natural language from the text-based opinion summaries. A user study in the restaurant domain shows that the proposed approaches can effectively generate reliable and helpful recommendations in human-computer conversations. T-Party Project Quanta Computer (Firm) 2011-04-13T19:33:15Z 2011-04-13T19:33:15Z 2010-09 Article http://purl.org/eprint/type/ConferencePaper http://hdl.handle.net/1721.1/62198 Liu, Jingjing, Stephanie Seneff, Victor Zue. "Utilizing review summarization in a spoken recommendation system." Proceedings of SIGDIAL, 2010: the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pp. 83-86. Copyright 2010 Association for Computational Linguistics https://orcid.org/0000-0003-2602-0862 https://orcid.org/0000-0001-8191-1049 en_US http://www.sigdial.org/workshops/workshop11/proc/pdf/SIGDIAL16.pdf Proceedings of SIGDIAL, Special Interest Group on Discourse and Dialogue, 11th Annual Meeting Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Association for Computational Linguistics MIT web domain |
spellingShingle | Liu, Jingjing Seneff, Stephanie Zue, Victor Utilizing Review Summarization in a Spoken Recommendation System |
title | Utilizing Review Summarization in a Spoken Recommendation System |
title_full | Utilizing Review Summarization in a Spoken Recommendation System |
title_fullStr | Utilizing Review Summarization in a Spoken Recommendation System |
title_full_unstemmed | Utilizing Review Summarization in a Spoken Recommendation System |
title_short | Utilizing Review Summarization in a Spoken Recommendation System |
title_sort | utilizing review summarization in a spoken recommendation system |
url | http://hdl.handle.net/1721.1/62198 https://orcid.org/0000-0003-2602-0862 https://orcid.org/0000-0001-8191-1049 |
work_keys_str_mv | AT liujingjing utilizingreviewsummarizationinaspokenrecommendationsystem AT seneffstephanie utilizingreviewsummarizationinaspokenrecommendationsystem AT zuevictor utilizingreviewsummarizationinaspokenrecommendationsystem |