German-NER-BERT
bert-sklearn
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German-NER-BERT | bert-sklearn | |
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2 | 1 | |
7 | 293 | |
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0.0 | 0.0 | |
almost 2 years ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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German-NER-BERT
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[P] German NER on Legal Data using BERT
Link to project: https://github.com/harshildarji/German-NER-BERT/
bert-sklearn
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Quick BERT Pre-Trained Model for Sentiment Analysis with Scikit Wrapper
Sckit-learn wrapper provided by Charles Nainan. GitHub of Scikit Learn BERT wrapper.
What are some alternatives?
malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
bert - TensorFlow code and pre-trained models for BERT
docutron - Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents.
OpenAI-CLIP - Simple implementation of OpenAI CLIP model in PyTorch.
kruk - Ukrainian instruction-tuned language models and datasets
NLU-engine-prototype-benchmarks - Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.
fake-news - Building a fake news detector from initial ideation to model deployment
ABSA_Project_4 - This project takes advantange of the parsing and part of speech tagging capabilites of Spacy's pipeline in order to extract aspect/opinion/sentiment triplets. Cluster aspects using unsupervised learning to process sentiment for large amazon review datasets.
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
TabularSemanticParsing - Translating natural language questions to a structured query language
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.