Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings
引入了ELMO embedding ELMo (Peters et al., 2018) and BERT (Devlin et al., 2019) can be used to generate contextualized word representations by combining internal states of different layers in neural langu
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相關文章
- 1. Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Le
- 2. An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition
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- 4. 【論文筆記】A Survey on Deep Learning for Named Entity Recognition
- 5. Word embeddings in 2017: Trends and future directions
- 6. 解讀：Few-shot classification in Named Entity Recognition Task
- 7. Code-Switched Named Entity Recognition with Embedding Attention 論文閱讀Code-Switched Named Entity Recog
- 8. 【論文筆記】Neural Architectures for Named Entity Recognition
- 9. 《Neural Architectures for Named Entity Recognition》
- 10. Deep contextualized word representations