Web: http://arxiv.org/abs/2205.02132

May 5, 2022, 1:11 a.m. | Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu

cs.CL updates on arXiv.org arxiv.org

The Emotion-Cause Pair Extraction (ECPE) task aims to extract emotions and
causes as pairs from documents. We observe that the relative distance
distribution of emotions and causes is extremely imbalanced in the typical ECPE
dataset. Existing methods have set a fixed size window to capture relations
between neighboring clauses. However, they neglect the effective semantic
connections between distant clauses, leading to poor generalization ability
towards position-insensitive data. To alleviate the problem, we propose a novel
\textbf{M}ulti-\textbf{G}ranularity \textbf{S}emantic \textbf{A}ware
\textbf{G}raph model …

arxiv bias emotion extraction graph model semantic

More from arxiv.org / cs.CL updates on arXiv.org

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC

Senior Data Science Writer

@ NannyML | Remote

Director of AI/ML Engineering

@ Armis Industries | Remote (US only), St. Louis, California

Digital Analytics Manager

@ Patagonia | Ventura, California