Combining weighted category-aware contextual information in convolutional neural networks for text classification

• Published in: World wide web (Bussum) Vol. 23; no. 5; pp. 2815 - 2834
• Main Authors: Wu, Xin, Cai, Yi, Li, Qing, Xu, Jingyun, Leung, Ho-fung
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2020; Springer Nature B.V
• Subjects: Artificial neural networks; Classification; Computer Science; Database Management; Information Systems Applications (incl.Internet); Natural language processing; Neural networks; Operating Systems; Special Issue on Web Information Systems Engineering 2018; Weighting methods; Convolutional neural networks; Word representation; Contextual information; Text classification

Convolutional neural networks (CNNs) are widely used in many natural language processing tasks, which employ some convolutional filters to capture useful semantic features of a text. However, a small window size convolutional filter is short of the ability to capture contextual information, simply i...