A maximum entropy approach to natural language processing
Computational Linguistics
Machine Learning
Automatic labeling of semantic roles
Computational Linguistics
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Comparison of alignment templates and maximum entropy models for natural language understanding
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Proceedings of the 11th international conference on Intelligent user interfaces
BiFrameNet: bilingual frame semantics resource construction by cross-lingual induction
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
FrameNet-based semantic parsing using maximum entropy models
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A maximum entropy approach to combining word alignments
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
ANERsys: An Arabic Named Entity Recognition System Based on Maximum Entropy
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Semantic role assignment for event nominalisations by leveraging verbal data
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Open text semantic parsing using FrameNet and WordNet
HLT-NAACL--Demonstrations '04 Demonstration Papers at HLT-NAACL 2004
An algorithm for open text semantic parsing
ROMAND '04 Proceedings of the 3rd Workshop on RObust Methods in Analysis of Natural Language Data
Semantic argument classification exploiting argument interdependence
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Extracting opinions, opinion holders, and topics expressed in online news media text
SST '06 Proceedings of the Workshop on Sentiment and Subjectivity in Text
Cross-lingual annotation projection of semantic roles
Journal of Artificial Intelligence Research
Probabilistic frame-semantic parsing
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Explanation knowledge graph construction through causality extraction from texts
Journal of Computer Science and Technology
Semi-supervised frame-semantic parsing for unknown predicates
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Unsupervised discovery of domain-specific knowledge from text
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Integrating semantic frames from multiple sources
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
A syntax and semantics linking algorithm for the chinese language
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
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The development of FrameNet, a large database of semantically annotated sentences, has primed research into statistical methods for semantic tagging. We advance previous work by adopting a Maximum Entropy approach and by using previous tag information to find the highest probability tag sequence for a given sentence. Further we examine the use of sentence level syntactic pattern features to increase performance. We analyze our strategy on both human annotated and automatically identified frame elements, and compare performance to previous work on identical test data. Experiments indicate a statistically significant improvement (p