Intention-based ranking for surface realization in dialogue systems.
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 m...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Computer Science Journals
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/15262/1/Intention.pdf |
| Summary: | 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 a cross the response classes, showing the dependency on surface representation of utterances in individual response class. |
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