Natural Language Processing: The Plnlp Approach
Natural Language Processing: The Plnlp Approach
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
Dynamic lexical acquisition in Chinese sentence analysis
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 2
Chinese dependency parsing with large scale automatically constructed case structures
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
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The verb-noun sequence in Chinese often creates ambiguities in parsing. These ambiguities can usually be resolved if we know in advance whether the verb and the noun tend to be in the verb-object relation or the modifier-head relation. In this paper, we describe a learning procedure whereby such knowledge can be automatically acquired. Using an existing (imperfect) parser with a chart filter and a tree filter, a large corpus, and the log-likelihood-ratio (LLR) algorithm, we were able to acquire verb-noun pairs which typically occur either in verb-object relations or modifier-head relations. The learned pairs are then used in the parsing process for disambiguation. Evaluation shows that the accuracy of the original parser improves significantly with the use of the automatically acquired knowledge.