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[NLP] 實體鏈接論文閱讀—Entity Linking for Chinese Short Texts Based on BERT and Entity Name Embeddings
時間 2020-12-30
標籤
NLP
深度學習
自然語言處理
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原文鏈接
Entity Linking for Chinese Short Texts Based on BERT and Entity Name Embeddings 寫在前面: 最近在閱讀實體鏈接論文,實體消歧是實體鏈接必須有的步驟,而實體鏈接的前一步爲實體識別,對於只想知道本文到底用什麼方法進行實體消歧並實體鏈接的,請直接移步第三部分Model架構的描述。這次直接用raw markdown寫了,嘗試過
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相關文章
1.
論文閱讀:A Walk-based Model on Entity Graphs for Relation Extraction
2.
ACL2020《Improving Entity Linking through Semantic Reinforced Entity Embeddings》閱讀筆記
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【論文筆記】A Survey on Deep Learning for Named Entity Recognition
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9.
Bert:論文閱讀-BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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