Thai Paraphrasing Tool for Chatbot Intent Recognition Training
This paper introduced a novel tool to automatically generate Thai paraphrased sentences specialized for intent recognition training. This technique is devised to improve intent recognition accuracy and reduce the training time, especially during the creation of applications like Thai natural languag...
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th-mahidol.843042023-06-19T00:02:26Z Thai Paraphrasing Tool for Chatbot Intent Recognition Training Sirikasem D. Mahidol University Computer Science This paper introduced a novel tool to automatically generate Thai paraphrased sentences specialized for intent recognition training. This technique is devised to improve intent recognition accuracy and reduce the training time, especially during the creation of applications like Thai natural language-based games and chatbots. The switching if-conjunction clauses in question sentences and the thesaurus-based paraphrasing methods have been explored. For the evaluation, a group of participants used the prototype tool to develop Thai chatbots. Which were tested to recognize question-type messages in the Thai national identification card domain provided by another group. The results demonstrated that the proposed techniques increase the accuracy F1 score compared to the state-ofthe-art pattern-aided chatbot by approximately 39%. On average, expert chatbot developers scored 8.25 out of 10 points on the prototype tool satisfaction. 2023-06-18T17:02:26Z 2023-06-18T17:02:26Z 2022-01-01 Conference Paper ICSEC 2022 - International Computer Science and Engineering Conference 2022 (2022) , 111-116 10.1109/ICSEC56337.2022.10049337 2-s2.0-85149678753 https://repository.li.mahidol.ac.th/handle/123456789/84304 SCOPUS |
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Computer Science Sirikasem D. Thai Paraphrasing Tool for Chatbot Intent Recognition Training |
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This paper introduced a novel tool to automatically generate Thai paraphrased sentences specialized for intent recognition training. This technique is devised to improve intent recognition accuracy and reduce the training time, especially during the creation of applications like Thai natural language-based games and chatbots. The switching if-conjunction clauses in question sentences and the thesaurus-based paraphrasing methods have been explored. For the evaluation, a group of participants used the prototype tool to develop Thai chatbots. Which were tested to recognize question-type messages in the Thai national identification card domain provided by another group. The results demonstrated that the proposed techniques increase the accuracy F1 score compared to the state-ofthe-art pattern-aided chatbot by approximately 39%. On average, expert chatbot developers scored 8.25 out of 10 points on the prototype tool satisfaction. |
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Mahidol University |
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Mahidol University Sirikasem D. |
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Conference or Workshop Item |
author |
Sirikasem D. |
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Sirikasem D. |
title |
Thai Paraphrasing Tool for Chatbot Intent Recognition Training |
title_short |
Thai Paraphrasing Tool for Chatbot Intent Recognition Training |
title_full |
Thai Paraphrasing Tool for Chatbot Intent Recognition Training |
title_fullStr |
Thai Paraphrasing Tool for Chatbot Intent Recognition Training |
title_full_unstemmed |
Thai Paraphrasing Tool for Chatbot Intent Recognition Training |
title_sort |
thai paraphrasing tool for chatbot intent recognition training |
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2023 |
url |
https://repository.li.mahidol.ac.th/handle/123456789/84304 |
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1781413759232770048 |