Description directed control: its implications for natural language generation
Readings in natural language processing
Paraphrasing questions using given and new information
Computational Linguistics
DIRT @SBT@discovery of inference rules from text
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Discovery of inference rules for question-answering
Natural Language Engineering
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Anticipating the reader's problems and the automatic generation of paraphrases
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
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
Learning sentential paraphrases from bilingual parallel corpora for text-to-text generation
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Statistical metaphor processing
Computational Linguistics
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In this paper we present a new dimension to paraphrasing text in which characteristics of the original text motivate strategies for effective paraphrasing. Our system combines two existing robust components: the IRUS-II natural language understanding system and the SPOKESMAN generation system. We describe the architecture of the system and enhancements made to these components to facilitate paraphrasing. We particularly look at how levels of representation in these two systems are used by specialists in the paraphraser which define potential problems and paraphrasing strategies. Finally, we look at the role of paraphrasing in a cooperative dialog system. We will focus here on paraphrasing in the context of natural language interfaces and particularly on how multiple interpretations introduced by various kinds of ambiguity can be conbasted in paraphrases using both sentence structure and highlighting and formating the text itself.