A maximum entropy approach to natural language processing
Computational Linguistics
Discriminative Reranking for Natural Language Parsing
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Support Vector Learning for Semantic Argument Classification
Machine Learning
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
ACL '05 Proceedings of the 43rd 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
Merging PropBank, NomBank, TimeBank, Penn Discourse Treebank and Coreference
CorpusAnno '05 Proceedings of the Workshop on Frontiers in Corpus Annotations II: Pie in the Sky
Parsing arguments of nominalizations in English and Chinese
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Semantic argument classification exploiting argument interdependence
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Introduction to the CoNLL-2005 shared task: semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Labeling chinese predicates with semantic roles
Computational Linguistics
Semantic role assignment for event nominalisations by leveraging verbal data
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
A Japanese predicate argument structure analysis using decision lists
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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
Discriminative approach to predicate-argument structure analysis with zero-anaphora resolution
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Recognizing implicit discourse relations in the Penn Discourse Treebank
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Joint syntactic and semantic parsing of Chinese
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Arguments of nominals in semantic interpretation of biomedical text
BioNLP '10 Proceedings of the 2010 Workshop on Biomedical Natural Language Processing
Hedge detection and scope finding by sequence labeling with normalized feature selection
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
A unified framework for scope learning via simplified shallow semantic parsing
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Learning the scope of negation via shallow semantic parsing
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Unified Semantic Role Labeling for Verbal and Nominal Predicates in the Chinese Language
ACM Transactions on Asian Language Information Processing (TALIP)
Automatic Identification and Classification of Noun Argument Structures in Biomedical Literature
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Integrative semantic dependency parsing via efficient large-scale feature selection
Journal of Artificial Intelligence Research
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This paper describes our attempt at NomBank-based automatic Semantic Role Labeling (SRL). NomBank is a project at New York University to annotate the argument structures for common nouns in the Penn Treebank II corpus. We treat the NomBank SRL task as a classification problem and explore the possibility of adapting features previously shown useful in PropBank-based SRL systems. Various NomBank-specific features are explored. On test section 23, our best system achieves F1 score of 72.73 (69.14) when correct (automatic) syntactic parse trees are used. To our knowledge, this is the first reported automatic NomBank SRL system.