Procedure for quantitatively comparing the syntactic coverage of English grammars
HLT '91 Proceedings of the workshop on Speech and Natural Language
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
The Penn Chinese TreeBank: Phrase structure annotation of a large corpus
Natural Language Engineering
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
A simple pattern-matching algorithm for recovering empty nodes and their antecedents
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Deep syntactic processing by combining shallow methods
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
A computational approach to zero-pronouns in Spanish
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Pronominal anaphora resolution in chinese
Pronominal anaphora resolution in chinese
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Using linguistic principles to recover empty categories
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Fully parsing the Penn Treebank
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Zero-anaphora resolution by learning rich syntactic pattern features
ACM Transactions on Asian Language Information Processing (TALIP)
Zero-Anaphora Resolution in Chinese Using Maximum Entropy
IEICE - Transactions on Information and Systems
Language-independent parsing with empty elements
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Empty categories in Hindi dependency treebank: analysis and recovery
LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop
Semantic mapping using automatic word alignment and semantic role labeling
SSST-5 Proceedings of the Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation
A clause-level hybrid approach to Chinese empty element recovery
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Empty categories represent an important source of information in syntactic parses annotated in the generative linguistic tradition, but empty category recovery has only started to receive serious attention until very recently, after substantial progress in statistical parsing. This paper describes a unified framework in recovering empty categories in the Chinese Tree-bank. Our results show that given skeletal gold standard parses, the empty categories can be detected with very high accuracy. We report very promising results for empty category recovery for automatic parses as well.