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

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...

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Main Authors: Li, Pengfei, Mao, Kezhi
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2020
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在線閱讀:https://hdl.handle.net/10356/136855
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