The nature of statistical learning theory
The nature of statistical learning theory
An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
Knowledge Discovery in Grammatically Analysed Corpora
Data Mining and Knowledge Discovery
Automatic labeling of semantic roles
Computational Linguistics
Statistical Models for Co-occurrence Data
Statistical Models for Co-occurrence Data
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Immediate-head parsing for language models
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
The necessity of parsing for predicate argument recognition
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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 deep linguistic features for the recognition and labeling of semantic arguments
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Identifying semantic roles using Combinatory Categorial Grammar
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Support Vector Learning for Semantic Argument Classification
Machine Learning
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Semantic role labeling using different syntactic views
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
FrameNet-based semantic parsing using maximum entropy models
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Semantic role labeling using dependency trees
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Semantic role labeling via integer linear programming inference
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
PP-attachment disambiguation using large context
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A concept-based model for enhancing text categorization
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Labeling chinese predicates with semantic roles
Computational Linguistics
The importance of syntactic parsing and inference in semantic role labeling
Computational Linguistics
Enhancing Text Categorization Using Sentence Semantics
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
A unified knowledge based approach for sense disambiguationm and semantic role labeling
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Parsing arguments of nominalizations in English and Chinese
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
A lightweight semantic chunking model based on tagging
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Semeval 2007 task 18: Arabic semantic labeling
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
CUNIT: a semantic role labeling system for modern standard Arabic
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
The necessity of syntactic parsing for semantic role labeling
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Automatic event-level textual emotion sensing using mutual action histogram between entities
Expert Systems with Applications: An International Journal
Semantic role chunking combining complementary syntactic views
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Mining advisor-advisee relationships from research publication networks
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
LAW IV '10 Proceedings of the Fourth Linguistic Annotation Workshop
Event-Level textual emotion sensing based on common action distributions between event participants
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
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There is a ever-growing need to add structure in the formof semantic markup to the huge amounts of unstructured textdata now available. We present the technique of shallow semanticparsing, the process of assigning a simple WHO didWHAT to WHOM, etc., structure to sentences in text, as auseful tool in achieving this goal. We formulate the semanticparsing problem as a classification problem using SupportVector Machines. Using a hand-labeled training setand a set of features drawn from earlier work together withsome feature enhancements, we demonstrate a system thatperforms better than all other published results on shallowsemantic parsing.