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[ACL2016] Incorporating Copying Mechanism in Sequence-to-Sequence Learning
時間 2020-12-30
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目前在自然語言處理的很多任務中,比如機器翻譯、句法分析、自動文摘以及對話系統等領域,sequence-to-sequence 已經取得了矚目的成就。簡單說下sequence-to-sequence, 也稱爲seq2seq 由兩個RNN組成:處理輸入的編碼器網絡和生成輸出的解碼器網絡. 所以也稱之爲encoder-decoder model. paper 提出了一種」copying mechanis
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相關文章
1.
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
2.
實體-關係聯合抽取:Incorporating Copying Mechanism in Sequence-to-Sequence Learning
3.
論文筆記《Incorporating Copying Mechanism in Sequence-to-Sequence Learning》
4.
《Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects》閱讀筆記
5.
(Copynet)Incorporating Copying Mechanism in Sequence-to-Sequence Learning論文筆記
6.
【論文閱讀】Incorporating copying mechanisim in sequence-to-sequence learning
7.
[ACL2016]Pointing the Unknown Words
8.
【論文閱讀】Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-S
9.
Incorporating biological structure into machine learning models in biomedicine(論文閱讀報告)
10.
Filling and Copying Data in Buffers
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