論文分享 - Reasoning with Memory Augmented Neural Networks for Language Comprehension
關鍵詞 Memory, reasoning 來源 arXiv 2016.10.20 問題 在此之前，所有 multi-turn 模型都爲多跳推斷預先設定了固定的跳數。但是並不是所有的 document-query 對都需要同樣的推理步數，有的只需要詞或者句子級別的匹配，有的需要複雜的語義理解和深度推理。基於此，本文提出了動態調整跳數的模型。 文章思路 Memory Initialization 首
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相關文章
- 1. Visual Question Answering with Memory-Augmented Networks
- 2. Memory Augmented Graph Neural Networks for Sequential Recommendation翻譯
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