Computer interpretation of natural language descriptions
Computer interpretation of natural language descriptions
High level knowledge sources in usable speech recognition systems
Communications of the ACM
Artificial Intelligence - Special volume on natural language processing
Talking to UNIX in English: an overview of UC
Communications of the ACM
Theory of Syntactic Recognition for Natural Languages
Theory of Syntactic Recognition for Natural Languages
Graph-based generation of referring expressions
Computational Linguistics
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
ACM Transactions on Computer-Human Interaction (TOCHI)
Computational properties of environment-based disambiguation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Meeting adjourned: off-line learning interfaces for automatic meeting understanding
Proceedings of the 13th international conference on Intelligent user interfaces
A unified syntactic model for parsing fluent and disfluent speech
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Toward a psycholinguistically-motivated model of language processing
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Grounded semantic composition for visual scenes
Journal of Artificial Intelligence Research
Positive effects of redundant descriptions in an interactive semantic speech interface
Proceedings of the 14th international conference on Intelligent user interfaces
A syntactic time-series model for parsing fluent and disfluent speech
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Toward a psycholinguistically-motivated model of language processing
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Broad-coverage parsing using human-like memory constraints
Computational Linguistics
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Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Interpretation of partial utterances in virtual human dialogue systems
HLT-DEMO '10 Proceedings of the NAACL HLT 2010 Demonstration Session
Context-based word acquisition for situated dialogue in a virtual world
Journal of Artificial Intelligence Research
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Incrementally biasing visual search using natural language input
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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This article describes a framework for incorporating referential semantic information from a world model or ontology directly into a probabilistic language model of the sort commonly used in speech recognition, where it can be probabilistically weighted together with phonological and syntactic factors as an integral part of the decoding process. Introducing world model referents into the decoding search greatly increases the search space, but by using a single integrated phonological, syntactic, and referential semantic language model, the decoder is able to incrementally prune this search based on probabilities associated with these combined contexts. The result is a single unified referential semantic probability model which brings several kinds of context to bear in speech decoding, and performs accurate recognition in real time on large domains in the absence of example in-domain training sentences.