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...
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Computer Science Journals
2009
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Online Access: | http://psasir.upm.edu.my/id/eprint/15262/1/Intention.pdf http://psasir.upm.edu.my/id/eprint/15262/ http://www.cscjournals.org |
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my.upm.eprints.152622015-10-22T23:29:17Z http://psasir.upm.edu.my/id/eprint/15262/ Intention-based ranking for surface realization in dialogue systems. Mustapha, Aida Sulaiman, Md. Nasir Mahmod , Ramlan Selamat, Mohd Hasan 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. Computer Science Journals 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/15262/1/Intention.pdf Mustapha, Aida and Sulaiman, Md. Nasir and Mahmod , Ramlan and Selamat, Mohd Hasan (2009) Intention-based ranking for surface realization in dialogue systems. International Journal of Computer Science and Security, 3 (3). pp. 175-185. ISSN 1985-1553 http://www.cscjournals.org English |
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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 a cross the response classes, showing the dependency on surface representation of utterances in individual response class. |
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Article |
author |
Mustapha, Aida Sulaiman, Md. Nasir Mahmod , Ramlan Selamat, Mohd Hasan |
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Mustapha, Aida Sulaiman, Md. Nasir Mahmod , Ramlan Selamat, Mohd Hasan Intention-based ranking for surface realization in dialogue systems. |
author_facet |
Mustapha, Aida Sulaiman, Md. Nasir Mahmod , Ramlan Selamat, Mohd Hasan |
author_sort |
Mustapha, Aida |
title |
Intention-based ranking for surface realization in dialogue systems. |
title_short |
Intention-based ranking for surface realization in dialogue systems. |
title_full |
Intention-based ranking for surface realization in dialogue systems. |
title_fullStr |
Intention-based ranking for surface realization in dialogue systems. |
title_full_unstemmed |
Intention-based ranking for surface realization in dialogue systems. |
title_sort |
intention-based ranking for surface realization in dialogue systems. |
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Computer Science Journals |
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2009 |
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http://psasir.upm.edu.my/id/eprint/15262/1/Intention.pdf http://psasir.upm.edu.my/id/eprint/15262/ http://www.cscjournals.org |
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