158 citations · 716 across the 49 of their papers we have counts for
5 papers · 1 filter
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…
Learning Graph-Level Representation for Drug Discovery
Junying Li, Deng Cai, Xiaofei He
Predicating macroscopic influences of drugs on human body, like efficacy and toxicity, is a central problem of small-molecule based drug discovery. Molecules can be represented as…
MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension
Boyuan Pan, Hao Li, Zhou Zhao +3
Machine comprehension(MC) style question answering is a representative problem in natural language processing. Previous methods rarely spend time on the improvement of encoding lay…