477 citations · 1.7k across the 84 of their papers we have counts for
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cs.CL2018★ 19 cited
Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information
Lisa Fan, Dong Yu, Lu Wang
Sequence-to-sequence (seq2seq) neural models have been actively investigated for abstractive summarization. Nevertheless, existing neural abstractive systems frequently generate fa…
cs.CL2018
Improving Machine Reading Comprehension with General Reading Strategies
Kai Sun, Dian Yu, Dong Yu +1
Reading strategies have been shown to improve comprehension levels, especially for readers lacking adequate prior knowledge. Just as the process of knowledge accumulation is time-c…
cs.CL2018★ 3 cited
XL-NBT: A Cross-lingual Neural Belief Tracking Framework
Wenhu Chen, Jianshu Chen, Yu Su +4
Task-oriented dialog systems are becoming pervasive, and many companies heavily rely on them to complement human agents for customer service in call centers. With globalization, th…