Procedure for quantitatively comparing the syntactic coverage of English grammars
HLT '91 Proceedings of the workshop on Speech and Natural Language
Discovery of inference rules for question-answering
Natural Language Engineering
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Semantic construction in feature-based TAG
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
An algebra for semantic construction in constraint-based grammars
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Learning to paraphrase: an unsupervised approach using multiple-sequence alignment
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Automatic paraphrase acquisition from news articles
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Generating phrasal and sentential paraphrases: A survey of data-driven methods
Computational Linguistics
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Arguably, grammars which associate natural language expressions not only with a syntactic but also with a semantic representation, should do so in a way that capture paraphrasing relations between sentences whose core semantics are equivalent. Yet existing semantic grammars fail to do so. In this paper, we describe an ongoing project whose aim is the production of a "paraphrastic grammar" that is, a grammar which associates paraphrases with identical semantic representations. We begin by proposing a typology of paraphrases. We then show how this typology can be used to simultaneously guide the development of a grammar and of a testsuite designed to support the evaluation of this grammar.