Intention is choice with commitment
Artificial Intelligence
Communication and information: alternative uses of the Internet in households
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Readings in agents
Reinventing the inbox: supporting the management of pending tasks in email
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Performatives in a rationally based speech act theory
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
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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 nonconversational 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.