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 |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/136855 |
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Institution: | Nanyang Technological University |
Language: | English |
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