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tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection
時間 2021-01-17
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bert
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人工智能
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tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection 文章發表在ACL2020。下面簡單記錄一下這篇文章的主要內容。 模型結構 如圖1所示: 首先,用基礎的BERT對兩個句子 S 1 S_{1} S1, S 2 S_{2} S2進行編碼。BERT最後一層的輸出作爲句子對的表示,用向量
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相關文章
1.
科恩論文閱讀:Semantic-Aware Neural Networks for Binary Code Similarity Detection
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RCNN:Rich feature hierarchies for accurate object detection and semantic segmentation
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