Arc and path consistence revisited
Artificial Intelligence
Attention, intentions, and the structure of discourse
Computational Linguistics
An optimal linear-time parallel parser for tree adjoining languages
SIAM Journal on Computing
Lexical ambiguity in tree adjoining grammars
Information Processing Letters
Ambiguous noun phrases in logical form
Computational Linguistics
An approach to multiply segmented constraint satisfaction problems
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Developing a natural language interface to complex data
ACM Transactions on Database Systems (TODS)
DIAGRAM: a grammar for dialogues
Communications of the ACM
Understanding Natural Language
Understanding Natural Language
Computational Linguistics
Characterizing structural descriptions produced by various grammatical formalisms
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
On the succinctness properties of unordered context-free grammars
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Some computational properties of Tree Adjoining Grammars
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Current research in the development of a spoken language understanding system using PARSEC
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Structural disambiguation with constraint propagation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
The representation and use of focus in a system for understanding dialogs
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 1
Writing a natural language data base system
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 1
Journal of Computer and System Sciences
Semantics and constraint parsing of word graphs
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
A question answering system developed as a project in a natural language processing course
ANLP/NAACL-ReadingComp '00 Proceedings of the 2000 ANLP/NAACL Workshop on Reading comprehension tests as evaluation for computer-based language understanding sytems - Volume 6
MUSE CSP: an extension to the constraint satisfaction problem
Journal of Artificial Intelligence Research
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In this paper, we describe a system which is capable of utilizing a variety of knowledge sources to select the most appropriate parse for a spoken sentence. These knowledge sources include syntax, semantics, and contextual information. We discuss one way to utilize contextual information when determining the parse for a sentence. At its simplest level, the system can be thought of as a general-purpose query answering system for multiple topical databases. The user's input would be processed by the language processor which interfaces to the databases with the goal of interacting with the correct database in order to provide a reasonable answer to the user's spoken request. Initially, it analyzes a word graph of sentence hypotheses provided by a speech recognizer using general syntactic and semantic rules. Then, if the utterance is still ambiguous, it utilizes context-specific constraints to further refine the analysis. This brings us closer to developing a more general purpose interface for multiple databases.