Improving accuracy of intention-based response classification using decision tree.
This study focused on improving the dialogue act classification to classify a user utterance into a response class using a decision tree approach. Decision tree classifier is tested on 64 mixed-initiative, transaction dialogue corpus in theater domain. The result from the comparative experiment show...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Asian Network for Scientific Information
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/15143/ http://psasir.upm.edu.my/id/eprint/15143/1/Improving%20accuracy%20of%20intention.pdf |
| _version_ | 1848842594657763328 |
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| author | Ali, S. A. Sulaiman, Md. Nasir Mustapha, Aida Mustapha, Norwati |
| author_facet | Ali, S. A. Sulaiman, Md. Nasir Mustapha, Aida Mustapha, Norwati |
| author_sort | Ali, S. A. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This study focused on improving the dialogue act classification to classify a user utterance into a response class using a decision tree approach. Decision tree classifier is tested on 64 mixed-initiative, transaction dialogue corpus in theater domain. The result from the comparative experiment show that decision tree able to achieve 81.95% recognition accuracy in classification better than the 73.9% obtained using Bayesian networks and 71.3% achieved by using Maximum likelihood estimation. This result showed that the performance of decision tree as classifier is well suited for these tasks. |
| first_indexed | 2025-11-15T08:01:37Z |
| format | Article |
| id | upm-15143 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T08:01:37Z |
| publishDate | 2009 |
| publisher | Asian Network for Scientific Information |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-151432015-11-24T03:46:13Z http://psasir.upm.edu.my/id/eprint/15143/ Improving accuracy of intention-based response classification using decision tree. Ali, S. A. Sulaiman, Md. Nasir Mustapha, Aida Mustapha, Norwati This study focused on improving the dialogue act classification to classify a user utterance into a response class using a decision tree approach. Decision tree classifier is tested on 64 mixed-initiative, transaction dialogue corpus in theater domain. The result from the comparative experiment show that decision tree able to achieve 81.95% recognition accuracy in classification better than the 73.9% obtained using Bayesian networks and 71.3% achieved by using Maximum likelihood estimation. This result showed that the performance of decision tree as classifier is well suited for these tasks. Asian Network for Scientific Information 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/15143/1/Improving%20accuracy%20of%20intention.pdf Ali, S. A. and Sulaiman, Md. Nasir and Mustapha, Aida and Mustapha, Norwati (2009) Improving accuracy of intention-based response classification using decision tree. Information Technology Journal, 8 (6). pp. 923-928. ISSN 1812-5638 10.3923/itj.2009.923.928 English |
| spellingShingle | Ali, S. A. Sulaiman, Md. Nasir Mustapha, Aida Mustapha, Norwati Improving accuracy of intention-based response classification using decision tree. |
| title | Improving accuracy of intention-based response classification using decision tree. |
| title_full | Improving accuracy of intention-based response classification using decision tree. |
| title_fullStr | Improving accuracy of intention-based response classification using decision tree. |
| title_full_unstemmed | Improving accuracy of intention-based response classification using decision tree. |
| title_short | Improving accuracy of intention-based response classification using decision tree. |
| title_sort | improving accuracy of intention-based response classification using decision tree. |
| url | http://psasir.upm.edu.my/id/eprint/15143/ http://psasir.upm.edu.my/id/eprint/15143/ http://psasir.upm.edu.my/id/eprint/15143/1/Improving%20accuracy%20of%20intention.pdf |