Generating a grammar for statistical training
HLT '90 Proceedings of the workshop on Speech and Natural Language
Natural language parsing as statistical pattern recognition
Natural language parsing as statistical pattern recognition
Towards history-based grammars: using richer models for probabilistic parsing
ACL '93 Proceedings of the 31st 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
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Learning to Parse Natural Language with Maximum Entropy Models
Machine Learning - Special issue on natural language learning
Robustness and Portability Issues in Multilingual Speech Processing
Machine Translation
Conversational natural language understanding interfacing city event information
Data & Knowledge Engineering
Different Approaches to Build Multilingual Conversational Systems
TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
Supertagging: an approach to almost parsing
Computational Linguistics
Open-domain textual question answering techniques
Natural Language Engineering
A lightweight dependency analyzer for partial parsing
Natural Language Engineering
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
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 stochastic language model using dependency and its improvement by word clustering
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Trigger-pair predictors in parsing and tagging
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Exploiting syntactic structure for language modeling
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
A new statistical parser based on bigram lexical dependencies
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
XTAG system: a wide coverage grammar for English
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
A statistical parser for Czech
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
The role of lexico-semantic feedback in open-domain textual question-answering
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Active learning for statistical natural language parsing
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Tree-gram parsing lexical dependencies and structural relations
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Head-Driven Statistical Models for Natural Language Parsing
Computational Linguistics
History-Based Inside-Outside Algorithm
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Shallow semantics for relation extraction
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
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Parser development is generally viewed as a primarily linguistic enterprise. A grammarian examines sentences, skillfully extracts the linguistic generalizations evident in the data, and writes grammar rules which cover the language. The grammarian then evaluates the performance of the grammar, and upon analysis of the errors made by the grammar-based parser, carefully refines the rules, repeating this process, typically over a period of several years.