Principles of artificial intelligence
Principles of artificial intelligence
Natural Language Information Processing: A Computer Grammmar of English and Its Applications
Natural Language Information Processing: A Computer Grammmar of English and Its Applications
A stochastic approach to sentence parsing
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Experiments with a powerful parser
COLING '67 Proceedings of the 1967 conference on Computational linguistics
Preference semantics for message understanding
HLT '89 Proceedings of the workshop on Speech and Natural Language
Parsing the voyager domain using pearl
HLT '91 Proceedings of the workshop on Speech and Natural Language
Calculating the probability of a partial parse of a sentence
HLT '91 Proceedings of the workshop on Speech and Natural Language
A Trellis-based algorithm for estimating the parameters of a hidden stochastic context-free grammar
HLT '91 Proceedings of the workshop on Speech and Natural Language
Integrating syntax and semantics into spoken language understanding
HLT '91 Proceedings of the workshop on Speech and Natural Language
Towards understanding text with a very large vocabulary
HLT '90 Proceedings of the workshop on Speech and Natural Language
Weighted deductive parsing and Knuth's algorithm
Computational Linguistics
Coping with ambiguity and unknown words through probabilistic models
Computational Linguistics - Special issue on using large corpora: II
New figures of merit for best-first probabilistic chart parsing
Computational Linguistics
Assigning function tags to parsed text
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Evaluating parsing strategies using standardized parse files
ANLC '92 Proceedings of the third conference on Applied natural language processing
Review of "Statistical language learning" by Eugene Charniak. The MIT Press 1993.
Computational Linguistics
Pearl: a probabilistic chart parser
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Hidden understanding models of natural language
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Efficiency, robustness and accuracy in Picky chart parsing
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Parsing with the shortest derivation
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Chart-based transfer rule application in Machine Translation
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
An algorithm for estimating the parameters of unrestricted hidden stochastic context-free grammars
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
Acquisition of selectional patterns
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Automatic compensation for parser figure-of-merit flaws
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Best analysis selection in inflectional languages
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
A parsing: fast exact Viterbi parse selection
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Probabilistic prediction and Picky chart parsing
HLT '91 Proceedings of the workshop on Speech and Natural Language
HLT '94 Proceedings of the workshop on Human Language Technology
Semantically motivated subcategorization acquisition
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
Probabilistic parsing strategies
Journal of the ACM (JACM)
Probabilistic parsing strategies
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
An alternative method of training probabilistic LR parsers
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Computational linguistics and natural language processing
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
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The recent trend in natural language processing research has been to develop systems that deal with text concerning small, well defined domains. One practical application for such systems is to process messages pertaining to some very specific task or activity [5]. The advantage of dealing with such domains is twofold - firstly, due to the narrowness of the domain, it is possible to encode most of the knowledge related to the domain and to make this knowledge accessible to the natural language processing system, which in turn can use this knowledge to disambiguate the meanings of the messages. Secondly, in such a domain, there is not a great diversity of language constructs and therefore it becomes easier to construct a grammar which will capture all the constructs which exist in this sub-language.