SLP-L6.2
SPEECHDPR: END-TO-END SPOKEN PASSAGE RETRIEVAL FOR OPEN-DOMAIN SPOKEN QUESTION ANSWERING
Chyi-Jiunn Lin, Guan-Ting Lin, National Taiwan University, Taiwan; Yung-Sung Chuang, Massachusetts Institute of Technology, United States of America; Wei-Lun Wu, National Taiwan University, Taiwan; Shang-Wen Li, Meta AI, United States of America; Abdelrahman Mohamed, Rembrand, United States of America; Hung-yi Lee, Lin-shan Lee, National Taiwan University, Taiwan
Session:
SLP-L6: Language understanding and computational semantics I - NLP Tasks Lecture
Track:
Speech and Language Processing
Location:
Room 104
Presentation Time:
Tue, 16 Apr, 16:50 - 17:10 (UTC +9)
Session Chair:
Huck Yang, NVIDIA Research
Session SLP-L6
SLP-L6.1: LEARNING SEMANTIC INFORMATION FROM RAW AUDIO SIGNAL USING BOTH CONTEXTUAL AND PHONETIC REPRESENTATIONS
Jaeyeon Kim, MAUM AI Inc. ; Seoul National University, Korea, Republic of; Injune Hwang, Kyogu Lee, Music & Audio Research Group (MARG), Seoul National University, Korea, Republic of
SLP-L6.2: SPEECHDPR: END-TO-END SPOKEN PASSAGE RETRIEVAL FOR OPEN-DOMAIN SPOKEN QUESTION ANSWERING
Chyi-Jiunn Lin, Guan-Ting Lin, National Taiwan University, Taiwan; Yung-Sung Chuang, Massachusetts Institute of Technology, United States of America; Wei-Lun Wu, National Taiwan University, Taiwan; Shang-Wen Li, Meta AI, United States of America; Abdelrahman Mohamed, Rembrand, United States of America; Hung-yi Lee, Lin-shan Lee, National Taiwan University, Taiwan
SLP-L6.3: TYPE-AWARE DECODING VIA EXPLICITLY AGGREGATING EVENT INFORMATION FOR DOCUMENT-LEVEL EVENT EXTRACTION
Gang Zhao, Yidong Shi, Shudong Lu, Xinjie Yang, Guanting Dong, Jian Xu, Xiaocheng Gong, Si Li, Beijing University of Posts and Telecommunications, China
SLP-L6.4: Improving Long Text Understanding with Knowledge Distilled from Summarization Model
Yan Liu, The Chinese University of Hong Kong, United Kingdom of Great Britain and Northern Ireland; Yazheng Yang, Hong Kong University, United Kingdom of Great Britain and Northern Ireland; Xiaokang Chen, Peking University, China
SLP-L6.5: KENET:KNOWLEDGE-ENHANCED DOC-LABEL ATTENTION NETWORK FOR MULTI-LABEL TEXT CLASSIFICATION
Bo Li, Baidu Inc., China; Yuyan Chen, Fudan University, China; Liang Zeng, Baidu Inc., China
SLP-L6.6: LABEL DEPENDENCIES-AWARE SET PREDICTION NETWORKS FOR MULTI-LABEL TEXT CLASSIFICATION
Xinkai Du, Quanjie Han, Yalin Sun, Chao Lv, Sunshine Insurance Group Corporation Limited, China; Maosong Sun, Tsinghua University, China
Contacts