Paper: Recognizing Textual Parallelisms With Edit Distance And Similarity Degree

ACL ID E06-1036
Title Recognizing Textual Parallelisms With Edit Distance And Similarity Degree
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

Detection of discourse structure is crucial in many text-based applications. This pa- per presents an original framework for de- scribing textual parallelism which allows us to generalize various discourse phe- nomena and to propose a unique method to recognize them. With this prospect, we discuss several methods in order to iden- tify the most appropriate one for the prob- lem, and evaluate them based on a manu- ally annotated corpus.