COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Lexical chains for question answering
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
A categorial variation database for English
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Learning entailment rules for unary templates
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
The third PASCAL recognizing textual entailment challenge
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
LexPar: A Freely Available English Paraphrase Lexicon Automatically Extracted from FrameNet
ICSC '09 Proceedings of the 2009 IEEE International Conference on Semantic Computing
Augmenting WordNet-based inference with argument mapping
TextInfer '09 Proceedings of the 2009 Workshop on Applied Textual Inference
The PASCAL recognising textual entailment challenge
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Global learning of typed entailment rules
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Learning entailment relations by global graph structure optimization
Computational Linguistics
Managing uncertainty in semantic tagging
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Efficient tree-based approximation for entailment graph learning
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Extracting context-rich entailment rules from Wikipedia revision history
Proceedings of the 3rd Workshop on the People's Web Meets NLP: Collaboratively Constructed Semantic Resources and their Applications to NLP
Wikipedia-based WSD for multilingual frame annotation
Artificial Intelligence
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Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet WordNet is limited, especially for inference between predicates. To help filling this gap, we present an algorithm that generates inference rules between predicates from FrameNet. Our experiment shows that the novel resource is effective and complements WordNet in terms of rule coverage.