tacred-relation and Relation-Extraction-Transformer
About tacred-relation
yuhaozhang/tacred-relation
PyTorch implementation of the position-aware attention model for relation extraction
This helps natural language processing engineers build models that can automatically identify relationships between entities mentioned in text. You feed it raw text data, and it helps you train a system to output specific relationships (e.g., 'person A works for company B', 'product X is manufactured by company Y'). It's ideal for NLP specialists or data scientists working with unstructured text.
About Relation-Extraction-Transformer
ivan-bilan/Relation-Extraction-Transformer
NLP: Relation extraction with position-aware self-attention transformer
This project helps you automatically identify specific relationships between entities (like people, organizations, or locations) mentioned in text. You provide unstructured text, and it outputs structured information about who is related to whom and how. This is useful for anyone who needs to extract factual data from large volumes of text, such as researchers analyzing news articles or intelligence analysts processing reports.
Scores updated daily from GitHub, PyPI, and npm data. How scores work