抄録
We propose a new specifically designed method for paraphrase generation based on Monte-Carlo sampling and show how this algorithm is suitable for its task. Moreover, the basic algorithm presented here leaves a lot of opportunities for future improvement. In particular, our algorithm does not constraint the scoring function in opposite to Viterbi based decoders. It is now possible to use some global features in paraphrase scoring functions. This algorithm opens new outlooks for paraphrase generation and other natural language processing applications like statistical machine translation.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. |
| ページ | 249-252 |
| ページ数 | 4 |
| 出版物ステータス | Published - 2009 |
| 外部発表 | Yes |
| イベント | Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 - Suntec 継続期間: 2009 8 2 → 2009 8 7 |
Other
| Other | Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 |
|---|---|
| 市 | Suntec |
| 期間 | 09/8/2 → 09/8/7 |
Fingerprint
ASJC Scopus subject areas
- Language and Linguistics
- Linguistics and Language
これを引用
Introduction of a new paraphrase generation tool based on Monte-Carlo sampling. / Chevelu, Jonathan; Lavergne, Thomas; Lepage, Yves; Moudenc, Thierry.
ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.. 2009. p. 249-252.研究成果: Conference contribution
}
TY - GEN
T1 - Introduction of a new paraphrase generation tool based on Monte-Carlo sampling
AU - Chevelu, Jonathan
AU - Lavergne, Thomas
AU - Lepage, Yves
AU - Moudenc, Thierry
PY - 2009
Y1 - 2009
N2 - We propose a new specifically designed method for paraphrase generation based on Monte-Carlo sampling and show how this algorithm is suitable for its task. Moreover, the basic algorithm presented here leaves a lot of opportunities for future improvement. In particular, our algorithm does not constraint the scoring function in opposite to Viterbi based decoders. It is now possible to use some global features in paraphrase scoring functions. This algorithm opens new outlooks for paraphrase generation and other natural language processing applications like statistical machine translation.
AB - We propose a new specifically designed method for paraphrase generation based on Monte-Carlo sampling and show how this algorithm is suitable for its task. Moreover, the basic algorithm presented here leaves a lot of opportunities for future improvement. In particular, our algorithm does not constraint the scoring function in opposite to Viterbi based decoders. It is now possible to use some global features in paraphrase scoring functions. This algorithm opens new outlooks for paraphrase generation and other natural language processing applications like statistical machine translation.
UR - http://www.scopus.com/inward/record.url?scp=77957860080&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77957860080&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:77957860080
SN - 9781617382581
SP - 249
EP - 252
BT - ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.
ER -