Selective sampling for example-based word sense disambiguation
Computational Linguistics
An empirical investigation of the relation between discourse structure and co-reference
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Text simplification for reading assistance: a project note
PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
Paraphrasing of Japanese light-verb constructions based on lexical conceptual structure
MWE '04 Proceedings of the Workshop on Multiword Expressions: Integrating Processing
Sentences generation by frequent parsing patterns
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Generating phrasal and sentential paraphrases: A survey of data-driven methods
Computational Linguistics
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This paper proposes an empirical approach to the development of a computational model for assessing texts according to cohesiveness. We argue that the NLG technologies for the generation of structural paraphrases can be used to efficiently create what we call a cohesion-variant parallel corpus, which would serve as a good resource for empirical acquisition of cohesiveness criteria. We also present our pilot case study, in which we took a particular type of paraphrasing that separates a relative clause from a sentence. We have so far created a cohesion-variant parallel corpus containing 499 cohesive instances and 841 incohesive instances. Based on this corpus, we conducted a preliminary experiment on cohesion evaluation, obtaining encouraging results.