Artificial intelligence (2nd ed.)
Artificial intelligence (2nd ed.)
REXTOR: a system for generating relations from natural language
RANLPIR '00 Proceedings of the ACL-2000 workshop on Recent advances in natural language processing and information retrieval: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 11
Annotating the semantic web using natural language
NLPXML '02 Proceedings of the 2nd workshop on NLP and XML - Volume 17
Extracting structural paraphrases from aligned monolingual corpora
PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
Using syntactic information to identify plagiarism
EdAppsNLP 05 Proceedings of the second workshop on Building Educational Applications Using NLP
Capturing expression using linguistic information
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Resolving paraphrases to support modeling language perception in an intelligent agent
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
A comparative study of language models for book and author recognition
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
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This paper presents the lexical component of the START Question Answering system developed at the MIT Artificial Intelligence Laboratory. START is able to interpret correctly a wide range of semantic relationships associated with a alternate expressions of the arguments of verbs. The design of the system takes advantage of the results of recent linguistic research into the structure of the lexicon, allowing START to attain a broader range of coverage than many existing systems while maintaining modular organization.