Distant Supervised Relation Extraction via DiSAN-2CNN on a Feature Level

Lv, XQ; Hou, HX; You, XD; Zhang, XP; Han, JM

Lv, XQ (corresponding author), Beijing Informat Sci & Technol Univ, Beijing, Peoples R China.

INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2020; 16 (2): 1

Abstract

At present, the mainstream distant supervised relation extraction methods existed problems: the coarse granularity for coding the context feature info......

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