Shujian2015/graphnet_nlp_paper
List of papers that applied graph network to NLP
This is a curated list of research papers and implementations for applying graph networks to natural language processing (NLP) tasks. It helps researchers and practitioners explore how linguistic data, structured as graphs, can be analyzed using specialized neural network techniques. The project takes academic papers as input and provides categorized references for various NLP applications.
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Use this if you are a researcher or NLP practitioner looking for academic literature and code examples on using graph networks for tasks like text classification, semantic role labeling, or machine translation.
Not ideal if you are looking for an off-the-shelf tool or library to directly perform an NLP task without engaging with academic research or implementing models.
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Feb 26, 2019
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