Simple, Keras-powered multilingual NLP framework, allows you to build your models in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS) and text classification tasks. Includes BERT, GPT-2 and word2vec embedding.
Project description
Dataset
Dataset Name | Language | TASK | Description |
---|---|---|---|
ChnSentiCorp | CN | Text Classification | Binary Classification |
LCQMC | CN | Question Answer Match | Binary Classification |
MSRA_NER | CN | Named Entity Recognition | Sequence Labeling |
Toxic | EN | Text Classification | Multi-label Multi-label |
Thucnews | CN | Text Classification | Multi-class Classification |
SQUAD | EN | Machine Reading Comprehension | Span |
DRCD | CN | Machine Reading Comprehension | Span |
CMRC | CN | Machine Reading Comprehension | Span |
GLUE | EN |
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