Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
An algorithm for pronominal anaphora resolution
Computational Linguistics
A maximum entropy approach to natural language processing
Computational Linguistics
Information state and dialogue management in the TRINDI dialogue move engine toolkit
Natural Language Engineering
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Probabilistic grounding of situated speech using plan recognition and reference resolution
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
The SAMMIE system: multimodal in-car dialogue
COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
A Probabilistic Approach to the Interpretation of Spoken Utterances
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
A machine learning approach to identification and resolution of one-anaphora
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Mixed-Initiative Human–Robot Interaction Using Hierarchical Bayesian Networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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This paper describes a probabilistic mechanism for the interpretation of utterance sequences in a task-oriented domain. The mechanism receives as input a sequence of sentences, and produces an interpretation which integrates the interpretations of individual sentences. For our evaluation, we collected a corpus of hypothetical requests to a robot, which comprise different numbers of sentences of different length and complexity. Our results are promising, but further improvements are required in our algorithm.