Natural language parsing as statistical pattern recognition
Natural language parsing as statistical pattern recognition
Light parsing as finite state filtering
Extended finite state models of language
Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text
Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Incremental finite-state parsing
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Syntactic analysis of natural language using linguistic rules and corpus-based patterns
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Surface grammatical analysis for the extraction of terminological noun phrases
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
Automatic glossary extraction: beyond terminology identification
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Applying collocation segmentation to the ACL anthology reference corpus
ACL '12 Proceedings of the ACL-2012 Special Workshop on Rediscovering 50 Years of Discoveries
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We present a rule--based shallow--parser compiler, which allows to generate a robust shallow-parser for any language, even in the absence of training data, by resorting to a very limited number of rules which aim at identifying constituent boundaries. We contrast our approach to other approaches used for shallow--parsing (i.e. finite-state and probabilistic methods). We present an evaluation of our tool for English (Penn Treebank) and for French (newspaper corpus "LeMonde") for several tasks (NP-chunking & "deeper" parsing).