85 citations · 361 across the 21 of their papers we have counts for
5 papers · 1 filter
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models
Boyuan Pan, Yazheng Yang, Hao Li +4
Machine Comprehension (MC) is one of the core problems in natural language processing, requiring both understanding of the natural language and knowledge about the world. Rapid pro…
Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference
Boyuan Pan, Yazheng Yang, Zhou Zhao +3
Natural Language Inference (NLI), also known as Recognizing Textual Entailment (RTE), is one of the most important problems in natural language processing. It requires to infer the…
Dialogue Act Recognition via CRF-Attentive Structured Network
Zheqian Chen, Rongqin Yang, Zhou Zhao +2
Dialogue Act Recognition (DAR) is a challenging problem in dialogue interpretation, which aims to attach semantic labels to utterances and characterize the speaker's intention. Cur…
Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation
Boyuan Pan, Hao Li, Zhou Zhao +2
In this paper, we consider the problem of machine reading task when the questions are in the form of keywords, rather than natural language. In recent years, researchers have achie…
Smarnet: Teaching Machines to Read and Comprehend Like Human
Zheqian Chen, Rongqin Yang, Bin Cao +3
Machine Comprehension (MC) is a challenging task in Natural Language Processing field, which aims to guide the machine to comprehend a passage and answer the given question. Many e…