ZhixiuYe/MLMAN
ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
This project helps researchers and developers in natural language processing to classify relationships between entities in text, even when very little training data is available. It takes in text data containing entities and their relationships, along with pre-trained word embeddings, and outputs a model capable of accurately identifying new relationships. This is ideal for NLP researchers, machine learning engineers, and data scientists working on information extraction or knowledge graph population tasks.
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Use this if you need to perform relation classification with limited labeled examples, which is common in many specialized domains.
Not ideal if you have abundant labeled data for relation classification, as simpler or more traditional methods might suffice.
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Python
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Last pushed
Aug 05, 2019
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