Part-of-Speech Tagging Using Decision Trees
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Learning grammatical stucture using statistical decision-trees
ICG! '96 Proceedings of the 3rd International Colloquium on Grammatical Inference: Learning Syntax from Sentences
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Coping with ambiguity and unknown words through probabilistic models
Computational Linguistics - Special issue on using large corpora: II
Tagging English text with a probabilistic model
Computational Linguistics
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
Finding clauses in unrestricted text by finitary and stochastic methods
ANLC '88 Proceedings of the second conference on Applied natural language processing
A practical part-of-speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Incremental finite-state parsing
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
A syntax-based part-of-speech analyser
EACL '95 Proceedings of the seventh conference on 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
Classifier combination for improved lexical disambiguation
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
Improving data driven wordclass tagging by system combination
COLING '98 Proceedings of the 17th international 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
Language Understanding Using Two-Level Stochastic Models with POS and Semantic Units
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
Shallow parsing using specialized hmms
The Journal of Machine Learning Research
Improving part-of-speech tagging using lexicalized HMMs
Natural Language Engineering
Improving chunking by means of lexical-contextual information in statistical language models
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Natural language tagging with genetic algorithms
Information Processing Letters
Highly accurate error-driven method for noun phrase detection
Pattern Recognition Letters
Statistical recognition of noun phrases in unrestricted text
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
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In this paper we present an integrated system for tagging and chunking texts from a certain language. The approach is based on stochastic finite-state models that are learnt automatically. This includes biagram models or finite-state automata learnt using grammatical inference techniques. As the models involved in our system are learnt automatically, this is a very flexible and portable system.In order to show the viability of our approach we present results for tagging and chunking using bigram models on the Wall Street Journal corpus. We have achieved an accuracy rate for tagging of 96.8%, and a precision rate for NP chunks of 94.6% with a recall rate of 93.6%.