Compared with unimodal data, multimodal data can provide more features t...
Conversation generation as a challenging task in Natural Language Genera...
The multi-role judicial debate composed of the plaintiff, defendant, and...
In the past few years, audiences from different fields witness the
achie...
Recent studies show that crowd-sourced Natural Language Inference (NLI)
...
With the recent proliferation of the use of text classifications, resear...
Despite the great success of NMT, there still remains a severe challenge...
Generalization to unseen instances is our eternal pursuit for all data-d...
Existing neural machine translation (NMT) systems utilize
sequence-to-se...
Automatic live commenting aims to provide real-time comments on videos f...
Natural language inference (NLI) aims at predicting the relationship bet...
Natural Language Sentence Matching (NLSM) has gained substantial attenti...
Pivot language is employed as a way to solve the data sparseness problem...