Paraphrase Generation Task

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A Paraphrase Generation Task is a linguistic generation task of linguistic passages that are in a paraphrase relation with an input passage.



References

2019

  • (Chen et al., 2019) ⇒ Mingda Chen, Qingming Tang, Sam Wiseman, and Kevin Gimpel. (2019). “Controllable Paraphrase Generation with a Syntactic Exemplar.” In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 5972-5984.
    • ABSTRACT: Prior work on controllable text generation usually assumes that the controlled attribute can take on one of a small set of values known a priori. In this work, we propose a novel task, where the syntax of a generated sentence is controlled rather by a sentential exemplar. To evaluate quantitatively with standard metrics, we create a novel dataset with human annotations. We also develop a variational model with a neural module specifically designed for capturing syntactic knowledge and several multitask training objectives to promote disentangled representation learning. Empirically, the proposed model is observed to achieve improvements over baselines and learn to capture desirable characteristics.
    • QUOTE: ... Controllable text generation has recently become an area of intense focus in the natural language processing (NLP) community. Recent work has focused both on generating text satisfying certain stylistic requirements such as being formal or exhibiting a particular sentiment (Hu et al., 2017; Shen et al., 2017; Ficler and Goldberg, 2017), as well as on generating text meeting structural requirements, such as conforming to a particular template (Iyyer et al., 2018;Wiseman et al., 2018). ...
X: his teammates’ eyes got an ugly, hostile expression.
Y: the smell of flowers was thick and sweet.
Z: the eyes of his teammates had turned ugly and hostile.


X: we need to further strengthen the agency’s capacities.
Y: the damage in this area seems to be quite minimal.
Z: the capacity of this office needs to be reinforced even further.

2018

2016