Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural
language expressions that convey almost the same information. Textual entailment …

In this paper we investigate the automatic generation and evaluation of sentential
paraphrases. We describe a method for generating sentential paraphrases by using a large …

Paraphrases are well-known as synonyms that express the same context in different
articulations. Extracting paraphrases from a large text corpus is a challenging task in Natural …

This paper presents a crowdsourcing project on the creation of a publicly available corpus of
sentential paraphrases for Russian. Collected from the news headlines, such corpus could …

News headlines are the main method for briefly providing a summary of the news article and
attracting an audience. In this paper, we experiment with different existing methods for …

The paper describes the results of the First Russian Paraphrase Detection Shared Task held
in St.-Petersburg, Russia, in October 2016. Research in the area of paraphrase extraction …

Discourse coherence is an important aspect of natural language that is still understudied in
computational linguistics. Our aim is to learn factors that constitute coherent discourse from …

Paraphrase Extraction involves the discovery of equivalent text segments from large corpora
and finds application in tasks such as multi-document summarization and document …

This paper presents a paraphrase acquisition method that uncovers and exploits
generalities underlying paraphrases: paraphrase patterns are first induced and then used to …

Generating coherent discourse is an important aspect in natural language generation. Our
aim is to learn factors that constitute coherent discourse from data, with a focus on how to …