A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
Text similarity measures are used in multiple tasks such as plagiarism detection, information ranking and recognition of paraphrases and textual entailment. While recent advances in deep learning highlighted further the relevance of sequential models in natural language generation, existing similarity measures do not fully exploit the sequential nature of language. Examples of such similarity measures include ngrams and skip-grams overlap which rely on distinct slices of the input texts. Indoi:10.18653/v1/p17-1071 dblp:conf/acl/MrabetKD17 fatcat:yixfte2dyvf3zeo3ujzm253a3a