A Multi-task Learning Approach to Text Simplification

Author:

Dmitrieva AnnaORCID,Tiedemann JörgORCID

Publisher

Springer International Publishing

Reference27 articles.

1. Alva-Manchego, F., Martin, L., Scarton, C., Specia, L.: EASSE: easier automatic sentence simplification evaluation. arXiv preprint arXiv:1908.04567 (2019)

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3. Bott, S., Saggion, H.: An unsupervised alignment algorithm for text simplification corpus construction. In: Proceedings of the Workshop on Monolingual Text-To-Text Generation, pp. 20–26 (2011)

4. Chandrasekar, R., Srinivas, B.: Automatic induction of rules for text simplification. Knowl.-Based Syst. 10(3), 183–190 (1997)

5. Gambhir, M., Gupta, V.: Recent automatic text summarization techniques: a survey. Artif. Intell. Rev. 47(1), 1–66 (2016). https://doi.org/10.1007/s10462-016-9475-9

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1. Learning to Paraphrase Sentences to Different Complexity Levels;Transactions of the Association for Computational Linguistics;2023

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