Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
DIRT @SBT@discovery of inference rules from text
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
An augmented template-based approach to text realization
Natural Language Engineering
Exploiting lexical regularities in designing natural language systems
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
A framework for lexical selection in natural language generation
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Extracting paraphrases from a parallel corpus
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
A corpus-based account of regular polysemy: the case of context-sensitive adjectives
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Normalization and paraphrasing using symbolic methods
PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
Extracting structural paraphrases from aligned monolingual corpora
PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
Learning to resolve bridging references
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
iSTART: paraphrase recognition
ACLstudent '04 Proceedings of the ACL 2004 workshop on Student research
Inconsistency as a diagnostic tool in a society of intelligent agents
Artificial Intelligence in Medicine
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When interacting with humans, intelligent agents must be able not only to understand natural language inputs but also to remember them and link their content with the contents of their memory of event and object instances. As inputs can come in a variety of forms, linking to memory can be successful only when paraphrasing relations are established between the meaning of new input and the content of the agent's memory. This paper discusses a variety of types of paraphrases relevant to this task and describes the way we implement this capability in a virtual patient application.