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@ -24,7 +24,7 @@ The following is a summary of the scenarios covered in the repository. Each scen
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|[Text Classification](scenarios/text_classification) |Topic Classification|BERT|
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|[Named Entity Recognition](scenarios/named_entity_recognition) |Wikipedia NER |BERT|
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|[Entailment](scenarios/entailment)|MultiNLI Natural Language Inference|BERT|
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|[Question Answering](scenarios/question_answering) |SQuAD | BiDAF|
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|[Question Answering](scenarios/question_answering) |SQuAD | BiDAF, BERT|
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|[Sentence Similarity](scenarios/sentence_similarity) |STS Benchmark |Representation: TF-IDF, Word Embeddings, Doc Embeddings<br>Metrics: Cosine Similarity, Word Mover's Distance|
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|[Embeddings](scenarios/embeddings)| Custom Embeddings Training|Word2Vec<br>fastText<br>GloVe|
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