OpenNMT/OpenNMT-tf

Copy Attention feature is needed

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#95 建立於 2018年4月2日

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 (3 留言) (0 反應) (0 負責人)Python (1,428 star) (394 fork)batch import
enhancementhelp wanted

描述

Opennmt-py has Copy Attention feature, which is very useful mechanism for many applications. Is there any plan to add this feature on Opennmt-tf? The link of copy attention in opennmt-py, http://opennmt.net/OpenNMT-py/onmt.modules.html?highlight=copy#copy-attention

貢獻者指南

技術棧
python
領域
machine learningai
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
4
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
over 1 week
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
knowledge of attention mechanismsfamiliarity with TensorFlowunderstanding of OpenNMT tf codebase
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
20
研究方向
The issue requests adding a copy attention mechanism similar to OpenNMT py (reference: http://opennmt.net/OpenNMT py/onmt.modules.html?highlight=copy#copy attention). To implement, first study the copy attention implementation in OpenNMT py's source code, then explore OpenNMT tf's model structure (likely in the 'models' or 'layers' directory) to identify where to integrate. Check existing attention implementations in OpenNMT tf to understand the pattern. No linked PRs or assignees, so the feature is available for implementation.