Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
Automatic labeling of semantic roles
Computational Linguistics
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Using predicate-argument structures for information extraction
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Annotating the propositions in the Penn Chinese Treebank
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
A study on convolution kernels for shallow semantic parsing
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Joint learning improves semantic role labeling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Semantic role labeling via FrameNet, VerbNet and PropBank
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Semantic role labeling of nominalized predicates in Chinese
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Tree kernels for semantic role labeling
Computational Linguistics
Labeling chinese predicates with semantic roles
Computational Linguistics
Shallow Semantic Parsing Based on FrameNet, VerbNet and PropBank
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Semantic role labeling via tree kernel joint inference
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Semantic role assignment for event nominalisations by leveraging verbal data
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Semantic role labeling for coreference resolution
EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Posters & Demonstrations
Semantic Role Labeling of NomBank: a maximum entropy approach
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Improving Chinese semantic role classification with hierarchical feature selection strategy
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Parsing arguments of nominalizations in English and Chinese
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
The role of implicit argumentation in nominal SRL
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Automatic semantic role labeling for Chinese verbs
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Introduction to the CoNLL-2005 shared task: semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Hierarchical semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Beyond NomBank: a study of implicit arguments for nominal predicates
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Tree kernel-based semantic role labeling with enriched parse tree structure
Information Processing and Management: an International Journal
Linguistic kernels for answer re-ranking in question answering systems
Information Processing and Management: an International Journal
Research on chinese sentence compression for the title generation
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
Event argument extraction based on CRF
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
Elementary discourse unit in chinese discourse structure analysis
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
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This article explores unified semantic role labeling (SRL) for both verbal and nominal predicates in the Chinese language. This is done by considering SRL for both verbal and nominal predicates in a unified framework. First, we systematically examine various kinds of features for verbal SRL and nominal SRL, respectively, besides those widely used ones. Then we further improve the performance of nominal SRL with various kinds of verbal evidence, that is, merging the training instances from verbal predicates and integrating various kinds of features derived from SRL for verbal predicates. Finally, we address the issue of automatic predicate recognition, which is essential for nominal SRL. Evaluation on Chinese PropBank and Chinese NomBank shows that our unified approach significantly improves the performance, in particular that of nominal SRL. To the best of our knowledge, this is the first reported work of unified verbal and nominal SRL on Chinese PropBank and NomBank.