Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference
基於連詞加強網絡和強化學習的自然語言推理模型 這篇文章是浙江大學CAD&CG國家重點實驗室和阿里巴巴-浙大前沿技術聯合研究院合作設計了基於連詞加強網絡的自然語言推理方法，並在此基礎上應用了強化學習來整合不同樣本的標註意見不統一的情況，從而提升模型的穩定性。該成果已發表於自然語言處理領域國際頂級會議ACL 2018。最近看到這篇文章感到對自己啓發挺大，所以寫個微博記錄一下~ 摘要 自然語言推理（Na
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相關文章
- 1. Deep Reinforcement Learning with a Natural Language Action Space
- 2. Enhanced LSTM for Natural Language Inference
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- 9. 【筆記】CS224N Natural Language Processing with Deep Learning
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