cliang1453/BOND
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
This project helps data scientists and NLP researchers automatically identify and categorize important entities like names, locations, and organizations from large amounts of raw text, especially in diverse or specialized fields where manually labeled examples are scarce. It takes unstructured text as input and outputs the same text with identified named entities, without requiring extensive human annotation. This is ideal for those working with open-domain text data who need efficient entity extraction.
291 stars. No commits in the last 6 months.
Use this if you need to extract named entities from text, but lack the resources or time for extensive manual data labeling.
Not ideal if you require extremely high precision for highly specific entity types, or if you already have ample human-annotated data for your domain.
Stars
291
Forks
35
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 02, 2021
Commits (30d)
0
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