stevezheng23/bert_extension_tf
BERT Extension in TensorFlow
This tool helps you analyze unstructured text by recognizing specific entities or understanding the user's intent. You feed it raw text data, and it outputs labels for named entities like people, locations, or organizations, or classifies the overall intent of the sentence. It's designed for data scientists or NLP engineers who need to deploy advanced text understanding models for specialized tasks.
No commits in the last 6 months.
Use this if you need to identify key information within text (like names or places) or classify the purpose of user queries, such as for a chatbot or search system.
Not ideal if you are looking for a simple, out-of-the-box solution without any programming or machine learning expertise.
Stars
30
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 29, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/stevezheng23/bert_extension_tf"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
DerwenAI/pytextrank
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
Tiiiger/bert_score
BERT score for text generation
BrikerMan/Kashgari
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for...
asyml/texar
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. ...
yohasebe/wp2txt
A command-line tool to extract plain text from Wikipedia dumps with category and section filtering