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 ...

The field of Information Extraction and Document Understanding has rapidly evolved from purely text‐based analyses to sophisticated multimodal approaches incorporating visual, textual, and layout ...

2013 No.11 issue of SCIENCE CHINA Chemistry published a special topic on extraction of uranium from Seawater recently. Owing to the fast economic growing and the concern over greenhouse gases and air ...

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.