105 citations · 439 across the 24 of their papers we have counts for
5 papers · 1 filter
QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications
Mingjun Zhao, Shengli Yan, Bang Liu +6
Query-based document summarization aims to extract or generate a summary of a document which directly answers or is relevant to the search query. It is an important technique that…
Neural Architecture Search For Keyword Spotting
Tong Mo, Yakun Yu, Mohammad Salameh +2
Deep neural networks have recently become a popular solution to keyword spotting systems, which enable the control of smart devices via voice. In this paper, we apply neural archit…
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models
Mingjun Zhao, Haijiang Wu, Di Niu +1
The competitive performance of neural machine translation (NMT) critically relies on large amounts of training data. However, acquiring high-quality translation pairs requires expe…
GIANT: Scalable Creation of a Web-scale Ontology
Bang Liu, Weidong Guo, Di Niu +4
Understanding what online users may pay attention to is key to content recommendation and search services. These services will benefit from a highly structured and web-scale ontolo…
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus
Bang Liu, Haojie Wei, Di Niu +2
The ability to ask questions is important in both human and machine intelligence. Learning to ask questions helps knowledge acquisition, improves question-answering and machine rea…