Topic-Aware Deep Compositional Models for Sentence Classification

• Main Authors: Zhao, Rui, Mao, Kezhi
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2017
• Subjects: Machine learning; Natural language processing
• Online Access: https://hdl.handle.net/10356/83235; http://hdl.handle.net/10220/42502
• Institution: Nanyang Technological University

In recent years, deep compositional models have emerged as a popular technique for representation learning of sentence in computational linguistic and natural language processing. These models normally train various forms of neural networks on top of pretrained word embeddings using a task-specific...