BREDS

"Bootstrapping Relationship Extractors with Distributional Semantics" (Batista et al., 2015) in EMNLP'15 - Python implementation

nlp natural-language-processing

View on GitHub Website

143 Stars

38 Forks

143 Watchers

Python Language

lgpl-3.0 License

Cost to Build

$8.30M

Market Value

$23.01M

How is this calculated?

Growth over time

6 data points · 2021-08-01 → 2025-08-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about BREDS

Question copied to clipboard

What is the davidsbatista/BREDS GitHub project? Description: ""Bootstrapping Relationship Extractors with Distributional Semantics" (Batista et al., 2015) in EMNLP'15 - Python implementation". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone BREDS

Clone via HTTPS

git clone https://github.com/davidsbatista/BREDS.git

Clone via SSH

[email protected]:davidsbatista/BREDS.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the BREDS issue tracker:

Open GitHub Issues

Similar to BREDS

lectures spaCy HanLP gensim stanford-tensorflow-tutorials nltk pattern awesome-nlp TextBlob CoreNLP allennlp mycroft-core practical-pytorch textract languagetool nlp_tasks MITIE Awesome-pytorch-list machine_learning_examples prose arXivTimes ltp libpostal sling DeepNLP-models-Pytorch sentencepiece DAT8 attention-is-all-you-need-pytorch kaggle-CrowdFlower iOS_ML