195 citations · 936 across the 38 of their papers we have counts for
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cs.CL2019★ 5 cited
How to Evaluate the Next System: Automatic Dialogue Evaluation from the Perspective of Continual Learning
Lu Li, Zhongheng He, Xiangyang Zhou +1
Automatic dialogue evaluation plays a crucial role in open-domain dialogue research. Previous works train neural networks with limited annotation for conducting automatic dialogue…
cs.CL2019★ 3 cited
RLTM: An Efficient Neural IR Framework for Long Documents
Chen Zheng, Yu Sun, Shengxian Wan +1
Deep neural networks have achieved significant improvements in information retrieval (IR). However, most existing models are computational costly and can not efficiently scale to l…