SPE-77.2
FROM SHALLOW TO DEEP: COMPOSITIONAL REASONING OVER GRAPHS FOR VISUAL QUESTION ANSWERING
Zihao Zhu, University of Chinese Academy of Sciences, China
Session:
Question Answering and Inference
Track:
Speech and Language Processing
Location:
Gather Area E
Presentation Time:
Thu, 12 May, 23:00 - 23:45 China Time (UTC +8)
Thu, 12 May, 15:00 - 15:45 UTC
Thu, 12 May, 15:00 - 15:45 UTC
Session Chair:
Pascale Fung, Hong Kong University of Science and Technology
Session SPE-77
SPE-77.1: CONTEXT MODELING WITH EVIDENCE FILTER FOR MULTIPLE CHOICE QUESTION ANSWERING
Sicheng Yu, Jing Jiang, Singapore Management University, Singapore; Hao Zhang, Nanyang Technological University, Singapore; Wei Jing, Alibaba Damo Academy, China
SPE-77.2: FROM SHALLOW TO DEEP: COMPOSITIONAL REASONING OVER GRAPHS FOR VISUAL QUESTION ANSWERING
Zihao Zhu, University of Chinese Academy of Sciences, China
SPE-77.3: A QUESTION-ORIENTED PROPAGATION NETWORK FOR NEWS READING COMPREHENSION
Liang Wen, Houfeng Wang, Yingwei Luo, Xiaolin Wang, Peking University, China; Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Dawei Yin, Baidu Inc., China
SPE-77.4: SYNTAX-BASED GRAPH MATCHING FOR KNOWLEDGE BASE QUESTION ANSWERING
Lu Ma, Dan Luo, Xi Zhu, Institute of Information Engineering, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China; Peng Zhang, Meilin Zhou, Qi Liang, Institute of Information Engineering, Chinese Academy of Sciences, China; Bin Wang, Xiaomi Inc., China
SPE-77.5: QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation
Dan Su, Peng Xu, Pascale Fung, Hong Kong University of Science and Technology, Hong Kong
SPE-77.6: PAIR-LEVEL SUPERVISED CONTRASTIVE LEARNING FOR NATURAL LANGUAGE INFERENCE
Shu'ang Li, Xuming Hu, Li Lin, Lijie Wen, Tsinghua University, China