Automatically Paraphrasing via Sentence Reconstruction and Round-trip Translation
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 3815-3821.
https://doi.org/10.24963/ijcai.2021/525
Keywords
- Natural Language Processing: NLP Applications and Tools
- Natural Language Processing: Natural Language Generation
- Natural Language Processing: Machine Translation
Abstract
Paraphrase generation plays key roles in NLP tasks such as question answering, machine translation, and information retrieval. In this paper, we propose a novel framework for paraphrase generation. It simultaneously decodes the output sentence using a pretrained wordset-to-sequence model and a round-trip translation model. We evaluate this framework on Quora, WikiAnswers, MSCOCO and Twitter, and show its advantage over previous state-of-the-art unsupervised methods and distantly-supervised methods by significant margins on all datasets. For Quora and WikiAnswers, our framework even performs better than some strongly supervised methods with domain adaptation. Further, we show that the generated paraphrases can be used to augment the training data for machine translation to achieve substantial improvements.
@inproceedings{ijcai2021p525,
title = {Automatically Paraphrasing via Sentence Reconstruction and Round-trip Translation},
author = {Guo, Zilu and Huang, Zhongqiang and Zhu, Kenny Q. and Chen, Guandan and Zhang, Kaibo and Chen, Boxing and Huang, Fei},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {3815--3821},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/525},
url = {https://doi.org/10.24963/ijcai.2021/525},
}
TY - CPAPER TI - Automatically Paraphrasing via Sentence Reconstruction and Round-trip Translation AU - Guo, Zilu AU - Huang, Zhongqiang AU - Zhu, Kenny Q. AU - Chen, Guandan AU - Zhang, Kaibo AU - Chen, Boxing AU - Huang, Fei T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 3815 EP - 3821 DO - 10.24963/ijcai.2021/525 UR - https://doi.org/10.24963/ijcai.2021/525 ER -Copied
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