538 citations · 2.4k across the 71 of their papers we have counts for
6 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…
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…
Video Question Answering via Attribute-Augmented Attention Network Learning
Yunan Ye, Zhou Zhao, Yimeng Li +3
Video Question Answering is a challenging problem in visual information retrieval, which provides the answer to the referenced video content according to the question. However, the…
The Forgettable-Watcher Model for Video Question Answering
Hongyang Xue, Zhou Zhao, Deng Cai
A number of visual question answering approaches have been proposed recently, aiming at understanding the visual scenes by answering the natural language questions. While the image…