Good grief, i can speak it! Preliminary experiments in audio restaurant reviews
Name
Barzilay-Good Grief.pdf
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113.72 KB
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Author(s)
Polifroni, Joseph
Seneff, Stephanie
Branavan, Satchuthanan R.
Wang, Chao
Barzilay, Regina
Date Issued
December 2010
Journal
Proceedings of the IEEE Spoken Language Technology Workshop (SLT), 2010
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Polifroni, Joseph et al. “Good Grief, i Can Speak It! Preliminary Experiments in Audio Restaurant Reviews.” IEEE Spoken Language Technology Workshop (SLT), 2010. 91–96. © Copyright 2010 IEEE
Version
Final published version
Abstract
In this paper, we introduce a new envisioned application for speech which allows users to enter restaurant reviews orally via their mobile device, and, at a later time, update a shared and growing database of consumer-provided information about restaurants. During the intervening period, a speech recognition and NLP based system has analyzed their audio recording both to extract key descriptive phrases and to compute sentiment ratings based on the evidence provided in the audio clip. We report here on our preliminary work moving towards this goal. Our experiments demonstrate that multi-aspect sentiment ranking works surprisingly well on speech output, even in the presence of recognition errors. We also present initial experiments on integrated sentence boundary detection and key phrase extraction from recognition output.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/SLT.2010.5700828
