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TitleStatusHype
Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !0
Regularly varying representation for sentence embedding0
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities0
DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine Tuning for Answer Sentence Selection0
A text autoencoder from transformer for fast encoding language representation0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT190
DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension0
Reinforce Attack: Adversarial Attack against BERT with Reinforcement Learning0
A Test Set for Discourse Translation from Japanese to English0
Reinforced Abstractive Summarization with Adaptive Length Controlling0
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