Intention extraction from text messages
Conference Publication ResearchOnline@JCUAbstract
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.
Journal
Lecture Notes in Computer Science
Publication Name
ICONIP 2010 17th International Conference on Neural Information Processing
Volume
6443
ISBN/ISSN
1611-3349
Edition
N/A
Issue
N/A
Pages Count
8
Location
Sydney, NSW, Australia
Publisher
Springer
Publisher Url
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Publisher Location
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Publish Date
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Url
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Date
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EISSN
N/A
DOI
10.1007/978-3-642-17537-4_41