Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses

• DOI: 10.18653/v1/d19-1620
• Publication Date: 2019-11-03T02:21:11Z
• Authors: Matt Grenander; Yue Dong; Jackie Chi Kit Ch...; Annie Louis
• Keywords: FOS: Computer and information sciences; Computer Science - Machine Learning; Artificial intelligence; History; Automatic summarization; 02 engineering and technology; Speech recognition; 01 natural sciences; Machine Learning (cs.LG); Engineering; Artificial Intelligence; Natural (archaeology); Multi-label Text Classification in Machine Learning; 0202 electrical engineering, electronic engineering, information engineering; 0105 earth and related environmental sciences; Natural Language Processing; Computer Science - Computation and Language; Architectural engineering; Topic Modeling; Natural language processing; Named Entity Recognition; Computer science; Automatic Keyword Extraction from Textual Data; Joint (building); Natural language; Archaeology; Computer Science; Physical Sciences; Computation and Language (cs.CL)

Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint (EMNLP-IJCNLP). 2019.