[ICLR2018]Deep Active Learning for Named Entity Recognition
目前神經網絡在各領域很多任務上都取得了矚目的成就，但是最大的缺陷就是需要大量的標註語料，成本較高，於是本文采用active learning 挑選一部分包含了更多信息的示例用於訓練，得到了較好的性能． Data Representation: 每個句子的句首和句尾都加上特殊符號, 句首加[BOS], 句尾加[EOS] 將句長相差不多的句子聚在一起，並pad到相同的長度，選用符號[PAD]補齊 標註
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相關文章
- 1. A Survey on Deep Learning for Named Entity Recognition（2020）
- 2. 《Neural Architectures for Named Entity Recognition》
- 3. 【論文筆記】Neural Architectures for Named Entity Recognition
- 4. 【論文筆記】A Survey on Deep Learning for Named Entity Recognition
- 5. 論文閱讀：A Survey on Deep Learning for Named Entity Recognition
- 6. Few-shot Learning for Named Entity Recognition in Medical Text筆記
- 7. 【筆記】Neural Architectures for Named Entity Recognition
- 8. Neural Architectures for Named Entity Recognition翻譯
- 9. 《A Neural Layered Model for Nested Named Entity Recognition》
- 10. 論文筆記 Neural Architectures for Named Entity Recognition