Intention extraction from text messages
Song, Insu, and Diederich, Joachim (2010) Intention extraction from text messages. In: Lecture Notes in Computer Science (6443), pp. 330-337. From: ICONIP 2010 17th International Conference on Neural Information Processing, 22-25 November 2010, Sydney, NSW, Australia.
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Identifying intentions of users plays a crucial role in providing better user services, such as web-search and automated message-handling. There is a significant literature on extracting speakers’ intentions and speech acts from spoken words, and this paper proposes a novel approach on extracting intentions from non-spoken words, such as web-search query texts, and text messages. Unlike spoken words, such as in a telephone conversation, text messages often contain longer and more descriptive sentences than conversational speech. In addition, text messages contain a mix of conversational speech and non-conversational contents such as documents. The experiments describe a first attempt to extracting writers’ intentions from Usenet text messages. Messages are segmented into sentences, and then each sentence is converted into a tuple (performative, proposition) using a dialogue act classifier. The writers’ intentions are then formulated from the tuples using constraints on felicitous human communication.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Date Deposited:||30 May 2011 23:40|
|FoR Codes:||10 TECHNOLOGY > 1005 Communications Technologies > 100599 Communications Technologies not elsewhere classified @ 100%|
|SEO Codes:||89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%|
|Citation Count from Web of Science||