Principle-Based Parsing: Computation and Psycholinguistics
Principle-Based Parsing: Computation and Psycholinguistics
Corpus-based parsing and sublanguage studies
Corpus-based parsing and sublanguage studies
Structural ambiguity and lexical relations
Computational Linguistics - Special issue on using large corpora: I
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
A memory-based approach to learning shallow natural language patterns
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Error-driven pruning of Treebank grammars for base noun phrase identification
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Statistical decision-tree models for parsing
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
A computational model of language performance: Data Oriented Parsing
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
The Journal of Machine Learning Research
Towards a base noun phrase parser using Web counts
Journal of Computing Sciences in Colleges
Unsupervised Method for Parsing Coordinated Base Noun Phrases
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
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In this paper, a memory-based parsing method is extended for handling compositional structures. The method is oriented for learning to parse any selected subset of target syntactic structures. It is local, yet can handle also compositional structures. Parts of speech as well as embedded instances are being used simultaneously. The output is a partial parse in which instances of the target structures are marked.