COGEX: a logic prover for question answering
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Recognising textual entailment with logical inference
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Linguistically motivated large-scale NLP with C&C and boxer
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Understanding script-based stories using commonsense reasoning
Cognitive Systems Research
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The topic of this research is the development of methodology for building computer systems capable of answering questions from natural language (NL) texts. Existing methodologies take the NL text and question as an input, transform it to a logical form, and use reasoning systems to obtain the answer. Sometimes little or no commonsense knowledge is added to the original input. However, we believe that most answers are commonsense answers and we want to investigate how additional knowledge can be used to produce them.