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This folder contains examples and best practices, written in Jupyter notebooks, for building Natural Language Processing systems for the following scenarios.

Category Applications Methods Languages
Text Classification Topic Classification BERT, XLNet, RoBERTa, DistilBERT en, hi, ar
Named Entity Recognition Wikipedia NER BERT en
Entailment MultiNLI Natural Language Inference BERT en
Question Answering SQuAD BiDAF, BERT, XLNet, DistilBERT en
Sentence Similarity STS Benchmark BERT, GenSen en
Embeddings Custom Embeddings Training Word2Vec, fastText, GloVe en
Annotation Text Annotation Doccano en
Model Explainability DNN Layer Explanation DUUDNM (Guan et al.) en


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python ../tools/
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