Paraphrase Generation: A Survey of the State of the Art
Jianing Zhou, Suma Bhat · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · 2021
This paper focuses on paraphrase generation, which is a widely studied natural language generation task in NLP.With the development of neural models, paraphrase generation research has exhibited a gradual shift to neural methods in the recent years.This has provided architectures for contextualized representation of an input text and generating fluent, diverse and human-like paraphrases.This paper surveys various approaches to paraphrase generation with a main focus on neural methods.