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Intention-Based Ranking for Surface Realization in Dialogue Systems
Aida Mustapha, MD. Nasir Sulaiman, Ramlan Mahmod, Mohd. Hasan Selamat
Pages - 175 - 185 | Revised - 05-08-2009 | Published - 01-09-2009
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KEYWORDS
Natural Language Generation, Dialogue Systems, Intention
ABSTRACT
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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Dr. Aida Mustapha
UNIVERSITI PUTRA MALAYSIA - Malaysia
aida@fsktm.upm.edu.my
Assistant Professor MD. Nasir Sulaiman
UNIVERSITI PUTRA MALAYSIA - Malaysia
Mr. Ramlan Mahmod
- Malaysia
Mr. Mohd. Hasan Selamat
- Malaysia
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