ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization

Author:

Loem Mengsay1,Takase Sho1,Kaneko Masahiro1,Okazaki Naoaki1

Affiliation:

1. Tokyo Institute of Technology

Publisher

Association for Natural Language Processing

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference35 articles.

1. Bahdanau, D., Cho, K., and Bengio, Y. (2015). “Neural Machine Translation by Jointly Learning to Align and Translate.” In 3rd International Conference on Learning Representations.

2. Bolshakov, I. A. and Gelbukh, A. (2004). “Synonymous Paraphrasing Using WordNet and Internet.” In Natural Language Processing and Information Systems, pp. 312–323.

3. Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D., Wu, J., Winter, C., Hesse, C., Chen, M., Sigler, E., Litwin, M., Gray, S., Chess, B., Clark, J., Berner, C., McCandlish, S., Radford, A., Sutskever, I., and Amodei, D. (2020). “Language Models are Few-Shot Learners.” In Advances in Neural Information Processing Systems 33, pp. 1877–1901.

4. Caswell, I., Chelba, C., and Grangier, D. (2019). “Tagged Back-Translation.” In Proceedings of the 4th Conference on Machine Translation, pp. 53–63.

5. Dorr, B., Zajic, D., and Schwartz, R. (2003). “Hedge Trimmer: A Parse-and-Trim Approach to Headline Generation.” In Proceedings of the HLT-NAACL 03 Text Summarization Workshop, pp. 1–8.

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