【論文筆記】QANET：Combining Local Convolution With Global Self-attention for Reading Comprehension
目錄 1. 簡要介紹 2. 模型 3. data augmentation by backtranslation 4. 實驗 1. 簡要介紹 模型創新點： （一）移除了RNN，核心就是卷積 + self-attention。這樣使得訓練更快，相應地模型能使用更多的訓練數據。Convolution capture the local structure of context(lo
相關文章
- 1. QANet: Combining Local Convolution With Global Self-Attention For Reading Comprehension
- 2. QANET: COMBINING LOCAL CONVOLUTION WITH GLOBAL SELF-ATTENTION FOR READING COMPREHENSION
- 3. 【論文筆記】Improving Machine Reading Comprehension with General Reading Strategies（2019，NAACL）
- 4. 機器閱讀理解系列文章-QANet(Combining Local Convolution with Global Self-Attention for Reading Comprehension)
- 5. Attention-over-Attention Neural Networks for Reading Comprehension論文筆記
- 6. 論文筆記--Multi-Style Generative Reading Comprehension (Masque)
- 7. Read + Verify: Machine Reading Comprehension with Unanswerable Questions 論文閱讀筆記
- 8. 論文筆記--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
- 9. 論文筆記--Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification (V-Net)
- 10. 【論文筆記】Read + Verify: Machine Reading Comprehension with Unanswerable Questions
- 更多相關文章...
- • Lua for 循環 - Lua 教程
- • ASP.NET Razor - 標記 - ASP.NET 教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • Scala 中文亂碼解決
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. Appium入門
- 2. Spring WebFlux 源碼分析(2)-Netty 服務器啓動服務流程 --TBD
- 3. wxpython入門第六步（高級組件）
- 4. CentOS7.5安裝SVN和可視化管理工具iF.SVNAdmin
- 5. jedis 3.0.1中JedisPoolConfig對象缺少setMaxIdle、setMaxWaitMillis等方法，問題記錄
- 6. 一步一圖一代碼，一定要讓你真正徹底明白紅黑樹
- 7. 2018-04-12—（重點）源碼角度分析Handler運行原理
- 8. Spring AOP源碼詳細解析
- 9. Spring Cloud（1）
- 10. python簡單爬去油價信息發送到公衆號
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. QANet: Combining Local Convolution With Global Self-Attention For Reading Comprehension
- 2. QANET: COMBINING LOCAL CONVOLUTION WITH GLOBAL SELF-ATTENTION FOR READING COMPREHENSION
- 3. 【論文筆記】Improving Machine Reading Comprehension with General Reading Strategies（2019，NAACL）
- 4. 機器閱讀理解系列文章-QANet(Combining Local Convolution with Global Self-Attention for Reading Comprehension)
- 5. Attention-over-Attention Neural Networks for Reading Comprehension論文筆記
- 6. 論文筆記--Multi-Style Generative Reading Comprehension (Masque)
- 7. Read + Verify: Machine Reading Comprehension with Unanswerable Questions 論文閱讀筆記
- 8. 論文筆記--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
- 9. 論文筆記--Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification (V-Net)
- 10. 【論文筆記】Read + Verify: Machine Reading Comprehension with Unanswerable Questions