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cs.CL2019
Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes
Yujia Qin, Fanchao Qi, Sicong Ouyang +5
Sememes, the minimum semantic units of human languages, have been successfully utilized in various natural language processing applications. However, most existing studies exploit…
cs.CL2019
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
Jie Zhou, Xu Han, Cheng Yang +4
Fact verification (FV) is a challenging task which requires to retrieve relevant evidence from plain text and use the evidence to verify given claims. Many claims require to simult…