The syntactic process
DIRT @SBT@discovery of inference rules from text
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
COLING '98 Proceedings of the 17th international conference on Computational linguistics - 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
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Computational semantics is the business of associating meaning representations with natural language expressions (words, phrases, sentences, and texts), and drawing inferences from these meaning representations [1]. It is an area that has recently matured to a state in which we have at our disposal robust, widecoverage systems that are capable of producing formal semantic representations for open-domain texts. One of such system is Boxer, developed by myself over the last four years [2,3].