Statistics-Based Summarization - Step One: Sentence Compression
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
On building a more efficient grammar by exploiting types
Natural Language Engineering
Verb paraphrase based on case frame alignment
ACL '02 Proceedings of the 40th 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
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Extracting structural paraphrases from aligned monolingual corpora
PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
The second release of the RASP system
COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
Generating basic skills reports for low-skilled readers*
Natural Language Engineering
Sentence compression as tree transduction
Journal of Artificial Intelligence Research
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Reformulating discourse connectives for non-expert readers
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
ERNESTA: a sentence simplification tool for children's stories in italian
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
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We present a framework for reformulating sentences by applying transfer rules on a typed dependency representation. We specify a list of operations that the framework needs to support and argue that typed dependency structures are currently the most suitable formalism for complex lexico-syntactic paraphrasing. We demonstrate our approach by reformulating sentences expressing the discourse relation of causation using four lexico-syntactic discourse markers -- "cause" as a verb and as a noun, "because" as a conjunction and "because of" as a preposition.