Information extraction and fusion is an interdisciplinary field at the convergence of natural language processing, computer vision and machine learning. This area focuses on automatically converting ...
Causality extraction is a rapidly evolving subfield of natural language processing that focuses on the identification and analysis of cause–effect relationships within unstructured textual data. This ...
The architecture of the proposed TEAM model: (a) topic representation generation; (b) target-aware subtopic extraction (bottom), topic-argument mutual learning (top); (c) argument identification.
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