Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts

• المؤلفون الرئيسيون: Li, Pengfei, Mao, Kezhi
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Natural Language Processing; Convolutional Neural Network
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/136855

Causal relation extraction is a challenging yet very important task for Natural Language Processing (NLP). There are many existing approaches developed to tackle this task, either rule-based (non-statistical) or machine-learning-based (statistical) method. For rule-based method, extensive manual wor...