PGN: 指針生成網絡（Get To The Point: Summarization with Pointer-Generator Networks）
文章目錄 1 引言 2 本文模型 2.1 Seq2Seq 注意力模型 2.2 指針生成網絡 2.3 覆蓋機制（Coverage mechanism） 【Reference】 1. Get To The Point: Summarization with Pointer-Generator Networks seq2seq模型可用於文本摘要（並非簡單地選擇、重排原始文本的段落），然後這些模型有兩個缺
相關文章
- 1. [ACL2017] Get to The Point: Summarization with Pointer-Generator Networks
- 2. 指針生成網絡 Pointer-Generator《Get To The Point: Summarization with Pointer-Generator Networks》論文閱讀筆記
- 3. Get to the pointer：Abstractvie summarization with pointer-generator networks（指向生成器網絡）---2017ACL
- 4. 【論文閱讀】Get to the point :summarization with pointer-generator networks
- 5. Get to the point: summarization with pointer-generator networks閱讀
- 6. Ranking with Recursive Neural Networks and Its Application to Multi-document Summarization
- 7. [生成對抗網絡GAN入門指南]（8）SGAN：Semi-Supervised Learning with Generative Adversarial Networks
- 8. #Paper Reading# Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
- 9. Taming Recurrent Neural Networks for Better Summarization
- 10. 論文淺嘗 | 利用指針生成網絡的知識圖譜自然語言生成
- 更多相關文章...
- • Eclipse 生成jar包 - Eclipse 教程
- • TCP/IP網絡訪問層的構成 - TCP/IP教程
- • 算法總結-雙指針
- • 互聯網組織的未來：剖析GitHub員工的任性之源
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
- 1. Duang!超快Wi-Fi來襲
- 2. 機器學習-補充03 神經網絡之**函數(Activation Function)
- 3. git上開源maven項目部署 多module maven項目（多module maven+redis+tomcat+mysql）後臺部署流程學習記錄
- 4. ecliple-tomcat部署maven項目方式之一
- 5. eclipse新導入的項目經常可以看到「XX cannot be resolved to a type」的報錯信息
- 6. Spark RDD的依賴於DAG的工作原理
- 7. VMware安裝CentOS-8教程詳解
- 8. YDOOK：Java 項目 Spring 項目導入基本四大 jar 包 導入依賴，怎樣在 IDEA 的項目結構中導入 jar 包 導入依賴
- 9. 簡單方法使得putty（windows10上）可以免密登錄樹莓派
- 10. idea怎麼用本地maven
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. [ACL2017] Get to The Point: Summarization with Pointer-Generator Networks
- 2. 指針生成網絡 Pointer-Generator《Get To The Point: Summarization with Pointer-Generator Networks》論文閱讀筆記
- 3. Get to the pointer：Abstractvie summarization with pointer-generator networks（指向生成器網絡）---2017ACL
- 4. 【論文閱讀】Get to the point :summarization with pointer-generator networks
- 5. Get to the point: summarization with pointer-generator networks閱讀
- 6. Ranking with Recursive Neural Networks and Its Application to Multi-document Summarization
- 7. [生成對抗網絡GAN入門指南]（8）SGAN：Semi-Supervised Learning with Generative Adversarial Networks
- 8. #Paper Reading# Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
- 9. Taming Recurrent Neural Networks for Better Summarization
- 10. 論文淺嘗 | 利用指針生成網絡的知識圖譜自然語言生成