160 citations · 739 across the 18 of their papers we have counts for
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cs.CL2018
On Accurate Evaluation of GANs for Language Generation
Stanislau Semeniuta, Aliaksei Severyn, Sylvain Gelly
Generative Adversarial Networks (GANs) are a promising approach to language generation. The latest works introducing novel GAN models for language generation use n-gram based metri…
cs.CL2017★ 7 cited
Better Text Understanding Through Image-To-Text Transfer
Karol Kurach, Sylvain Gelly, Michal Jastrzebski +4
Generic text embeddings are successfully used in a variety of tasks. However, they are often learnt by capturing the co-occurrence structure from pure text corpora, resulting in li…