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Plan Recognition in Natural Language Dialogue
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EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Parsing the WSJ using CCG and log-linear models
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Wide-coverage semantic representations from a CCG parser
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Corpus-based, statistical goal recognition
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Spatially Constrained Grammars for Mobile Intention Recognition
Proceedings of the international conference on Spatial Cognition VI: Learning, Reasoning, and Talking about Space
Learning probabilistic hierarchical task networks to capture user preferences
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Recognising Agent Behaviour During Variable Length Activities
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Plan recognition in exploratory domains
Artificial Intelligence
User-dependent aspect model for collaborative activity recognition
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
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IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
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The research areas of plan recognition and natural language parsing share many common features and even algorithms. However, the dialog between these two disciplines has not been effective. Specifically, significant recent results in parsing mildly context sensitive grammars have not been leveraged in the state of the art plan recognition systems. This paper will outline the relations between natural language processing(NLP) and plan recognition(PR), argue that each of them can effectively inform the other, and then focus on key recent research results in NLP and argue for their applicability to PR.