From grammar to lexicon: unsupervised learning of lexical syntax
Computational Linguistics - Special issue on using large corpora: II
Automatic extraction of subcategorization from corpora
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Automatic acquisition of subcategorization frames from untagged text
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Automatic extraction of subcategorization frames for Czech
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Inducing German semantic verb classes from purely syntactic subcategorisation information
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Clustering polysemic subcategorization frame distributions semantically
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Using co-composition for acquiring syntactic and semantic subcategorisation
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
FML-Based SCF predefinition learning for chinese verbs
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Improving English subcategorization acquisition with diathesis alternations as heuristic information
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
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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This paper describes the technology and an experiment of subcategorization acquisition for Chinese verbs. The SCF hypotheses are generated by means of linguistic heuristic information and filtered via statistical methods. Evaluation on the acquisition of 20 multi-pattern verbs shows that our experiment achieved the similar precision and recall with former researches. Besides, simple application of the acquired lexicon to a PCFG parser indicates great potentialities of subcategorization information in the fields of NLP.