論文筆記：A Neural Multi-digraph Model for Chinese NER with Gazetteers
文章目錄 一、摘要 二、簡介 三、模型 1、構圖 2、加工 四、實驗結果 一、摘要 文章提出了一種基於圖神經網絡並結合多種詞典的命名實體識別方法，主要的新意是讓模型自動去學習詞典的特徵，而不是像《Incorporating dictionaries into deep neural networks for the Chinese clinical NER》那樣基於人工的策略去構建。 二、簡介 傳
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相關文章
- 1. 《A Joint Neural Model for Information Extraction with Global Features》論文筆記
- 2. 《A Lexicon-Based Graph Neural Network for Chinese NER》思維導圖筆記
- 3. 【論文筆記】A Survey on Deep Learning for Named Entity Recognition
- 4. [論文解讀]EMNLP2019: A Boundary-aware Neural Model for Nested NER
- 5. [論文筆記] [中文NER] Chinese NER Using Lattice LSTM
- 6. 中文實體抽取（NER）論文筆記《Chinese NER Using Lattice LSTM》
- 7. 論文《Chinese Poetry Generation with Recurrent Neural Network》閱讀筆記
- 8. 論文閱讀：Incorporating dictionaries into deep neural networks for the Chinese clinical NER
- 9. 《A Neural Attention Model for Abstractive Sentence Summarization》論文筆記
- 10. 論文筆記：ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation