論文筆記 | Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions
簡介 Jierui Li, Wang Lei 和 Dongxiang Zhang團隊發表在ACL19上的工作。主要使用不同功能的Multi-Head Attention來獲取不同類型對象的關係。 受到multi-head attention工作的啓發，作者設計了四種不同的attention機制： Global attention：以整個句子的表示作爲query, key和value，以獲取全局信息
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相關文章
- 1. 論文筆記 | Tree-structured Decoding for Solving Math Word Problems
- 2. Multilayer in-place learning networks for modeling functional layers in the laminar cortex筆記
- 3. 論文筆記 | MathDQN: Solving Arithmetric Word Problems via Deep Reinforcement Learning
- 4. Problems with EXC_BAD_ACCESS in CCBReader
- 5. [論文閱讀]Language Modeling with Gated Convolutional Networks
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- 7. 論文筆記：ESWC 2018 Modeling Relational Data with Graph Convolutional Networks
- 8. Document Modeling with Gated Recurrent Neural Network for Sentiment Classification 論文閱讀筆記
- 9. 《Functional Programming in 40 minutes》筆記
- 10. Question Retrieval with Distributed Representations and Participant Reputation in Community QA論文筆記