Computer interpretation of natural language descriptions
Computer interpretation of natural language descriptions
An algorithm for generating quantifier scopings
Computational Linguistics
Computational Linguistics
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
The Trains 91 Dialogues
D-theory: talking about talking about trees
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
A quantifier scoping algorithm without a Free Variable Constraint
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Synchronous tree-adjoining grammars
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
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COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Left-corner parsing and psychological plausibility
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
Dynamics, dependency grammar and incremental interpretation
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 4
Incremental interpretation of Categorial Grammar
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Non-constituent coordination: theory and practice
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Stochastically evaluating the validity of partial parse trees in incremental parsing
IncrementParsing '04 Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together
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
Incremental dialogue act understanding
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
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Why should computers interpret language incrementally? In recent years psycholinguistic evidence for incremental interpretation has become more and more compelling, suggesting that humans perform semantic interpretation before constituent boundaries, possibly word by word. However, possible computational applications have received less attention. In this paper we consider various potential applications, in particular graphical interaction and dialogue. We then review the theoretical and computational tools available for mapping from fragments of sentences to fully scoped semantic representations. Finally, we tease apart the relationship between dynamic semantics and incremental interpretation.