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COLING
2010

Leveraging Multiple MT Engines for Paraphrase Generation

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Leveraging Multiple MT Engines for Paraphrase Generation
This paper proposes a method that leverages multiple machine translation (MT) engines for paraphrase generation (PG). The method includes two stages. Firstly, we use a multi-pivot approach to acquire a set of candidate paraphrases for a source sentence S. Then, we employ two kinds of techniques, namely the selection-based technique and the decoding-based technique, to produce a best paraphrase T for S using the candidates acquired in the first stage. Experimental results show that: (1) The multi-pivot approach is effective for obtaining plenty of valuable candidate paraphrases. (2) Both the selectionbased and decoding-based techniques can make good use of the candidates and produce high-quality paraphrases. Moreover, these two techniques are complementary. (3) The proposed method outperforms a state-of-the-art paraphrase generation approach.
Shiqi Zhao, Haifeng Wang, Xiang Lan, Ting Liu
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2010
Where COLING
Authors Shiqi Zhao, Haifeng Wang, Xiang Lan, Ting Liu
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