Phonology and syntax: the relationship between sound and structure
Phonology and syntax: the relationship between sound and structure
Principle-Based Parsing: Computation and Psycholinguistics
Principle-Based Parsing: Computation and Psycholinguistics
A framework for robust semantic interpretation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Automatic construction of frame representations for spontaneous speech in unrestricted domains
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Distributing representation for robust interpretation of dialogue utterances
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Putting Linguistics into Speech Recognition: The Regulus Grammar Compiler (Studies in Computational Linguistics (Stanford, Calif.).)
Incremental dialogue processing in a micro-domain
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Incremental parsing with reference interaction
IncrementParsing '04 Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together
Incrementality in deterministic dependency parsing
IncrementParsing '04 Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together
A simple method for resolution of definite reference in a shared visual context
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Comparing local and sequential models for statistical incremental natural language understanding
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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We present RUBISC, a new incremental chunker that can perform incremental slot filling and revising as it receives a stream of words. Slot values can influence each other via a unification mechanism. Chunks correspond to sense units, and end-of-sentence detection is done incrementally based on a notion of semantic/pragmatic completeness. One of RUBISC's main fields of application is in dialogue systems where it can contribute to responsiveness and hence naturalness, because it can provide a partial or complete semantics of an utterance while the speaker is still speaking. The chunker is evaluated on a German transcribed speech corpus and achieves a concept error rate of 43.3% and an F-Score of 81.5.