Work

Paraphrase generation as monolingual translation: data and evaluation

Year: 2010

Type: conference-paper

Abstract: 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 aligned monolingual corpus of news headlines acquired automatically from Google News and a standard Phrase-Based Machine Translation (PBMT) framework. The output of this system is compared to a word substitution baseline. Human judges prefer the PBMT paraphrasing system over the word substitution system. We demonstrate that BLEU correlates well with human judgements provided that the generated paraphrased sentence is sufficiently different from the source sentence.

Source: Research portal (Tilburg University)

Authors: Sander Wubben, Antal van den Bosch, Emiel Krahmer

Institution: Tilburg University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1787338159

FWCI: 1.991

Cites: 22

Cited by: 69

Related to: 10