Topic classification of spoken inquiries using transductive support vector machine

Autor:	Rafael Torres, Tomoko Matsui, Hiromichi Kawanami, Kiyohiro Shikano, Hiroshi Saruwatari
Jazyk:	angličtina
Rok vydání:	2012
Předmět:	Data labeling Training set business.industry Process (engineering) Computer science Supervised learning computer.software_genre Support vector machine ComputingMethodologies_PATTERNRECOGNITION Labeled data Artificial intelligence business computer Natural language processing
Zdroj:	Natural Interaction with Robots, Knowbots and Smartphones ISBN: 9781461482796 Natural Interaction with Robots, Knowbots and Smartphones, Putting Spoken Dialog Systems into Practice
Popis:	We investigate the topic classification of spoken inquiries received by a guidance system with a semi-supervised learning approach based on TSVM. We obtained gains in learning approach based on TSVM. We obtained gains in classification performance for specific topics by using this approach, in comparison to those of its supervised counterpart. IWSDS2012: The 4th International Workshop on Spoken Dialog Systems, November 28-30, 2012, Paris, France
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e397f5111652f91508c1429f714a3dbf http://hdl.handle.net/10061/8618 Zobrazit plný text záznamu