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| Intention-Based Ranking for Surface Realization in Dialogue Systems
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Source |
International Journal of Computer Science and Security (IJCSS) |
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Table of Contents |
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Volume: 3 Issue: 3 |
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Pages: 154-271 |
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Publication
Date: June 2009 |
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ISSN
(Online): 1985-1553 |
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Pages |
175 - 185 |
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Author(s) |
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Published
Date |
01-09-2009 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Natural Language Generation, Dialogue Systems, Intention |
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| A new intention-based ranking is proposed to cater for intentionality in ranking dialogue utterances, as opposed to surface-based ranking using surface linguistic features in utterances. This is because utterances may be in the form of a sentence, a phrase, or just a word; hence basis for ranking must be on assessment of intentions, regardless of length of utterance and grammar rules. Intention-based ranking model is tested and compared with surface-based models on 15 response classes in theater domain. The results from comparative experiments show consistent accuracy distribution in intention-based ranking across all response classes with average of 91%. On the contrary, ranking accuracy for surface-based ranking is not uniform across the response classes, showing the dependency on surface representation of utterances in individual response class. |
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Intelligent Computing Group
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UPM Knowledge Management Portal
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Universiti Putra Malaysia
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peeepl.com
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123people
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| Aida Mustapha : Colleagues
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| MD. Nasir Sulaiman : Colleagues
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| Ramlan Mahmod : Colleagues
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| Mohd. Hasan Selamat : Colleagues
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