Automatic labeling of semantic roles
Computational Linguistics
Semantic Role Parsing: Adding Semantic Structure to Unstructured Text
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Chunking with support vector machines
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Target word detection and semantic role chunking using support vector machines
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Using predicate-argument structures for information extraction
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Use of support vector learning for chunk identification
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Semantic role labeling using different syntactic views
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
A lightweight semantic chunking model based on tagging
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Introduction to the CoNLL-2005 shared task: semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
A robust combination strategy for semantic role labeling
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Semantic role labeling: an introduction to the special issue
Computational Linguistics
Tree kernels for semantic role labeling
Computational Linguistics
Labeling chinese predicates with semantic roles
Computational Linguistics
The importance of syntactic parsing and inference in semantic role labeling
Computational Linguistics
Shallow semantic labeling using two-phase feature-enhanced string matching
Expert Systems with Applications: An International Journal
Accurate parsing of the proposition bank
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Combination strategies for semantic role labeling
Journal of Artificial Intelligence Research
Chinese semantic role labeling with shallow parsing
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
An edit distance approach to shallow semantic labeling
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Analysis of joint inference strategies for the semantic role labeling of Spanish and Catalan
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Open-domain semantic role labeling by modeling word spans
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Punctuation: making a point in unsupervised dependency parsing
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Natural Language Processing (Almost) from Scratch
The Journal of Machine Learning Research
The role of verb sense disambiguation in semantic role labeling
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Grammatical inference in practice: a case study in the biomedical domain
ICGI'06 Proceedings of the 8th international conference on Grammatical Inference: algorithms and applications
Semantic role labeling for portuguese --- a preliminary approach ---
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
Generating extractive summaries of scientific paradigms
Journal of Artificial Intelligence Research
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This paper describes a semantic role labeling system that uses features derived from different syntactic views, and combines them within a phrase-based chunking paradigm. For an input sentence, syntactic constituent structure parses are generated by a Charniak parser and a Collins parser. Semantic role labels are assigned to the constituents of each parse using Support Vector Machine classifiers. The resulting semantic role labels are converted to an IOB representation. These IOB representations are used as additional features, along with flat syntactic chunks, by a chunking SVM classifier that produces the final SRL output. This strategy for combining features from three different syntactic views gives a significant improvement in performance over roles produced by using any one of the syntactic views individually.