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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Naturalness of an Utterance Based on the Automatically Retrieved Commonsense
| Title: | Naturalness of an Utterance Based on the Automatically Retrieved Commonsense |
| Authors: | Rzepka, Rafal Browse this author →KAKEN DB | | Ge, Yali Browse this author | | Araki, Kenji Browse this author |
| Issue Date: | 2005 |
| Publisher: | IJCAI |
| Journal Title: | Proceedings of IJCAI 2005 - Nineteenth International Joint Conference on Artificial Intelligence |
| Abstract: | In this research we investigated user’s behavior while facing a system coping with common knowledge about keywords and compared it with not only classic word-spotting method but also with random text-mining. We show how even a simple implementation of our idea can enrich the conversation and increase the naturalness of computer’s utterances. Our results show that even very commonsensical utterances are more natural than classic approaches and also methods we developed to make a conversation more interesting. For arousing opinion exchange during the session, we will also briefly introduce our idea of combining latest NLP achievements into one holistic system where the main engine we want to base on commonsense processing and affective computing. |
| Conference Name: | International Joint Conference on Artificial Intelligence |
| Conference Sequence: | 19 |
| Conference Place: | Edinburgh, Scotland |
| Type: | proceedings |
| URI: | http://hdl.handle.net/2115/63621 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: RZEPKA Rafal
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