論文閱讀 Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search
一. 1. beam search 每個方框代表一個beam，每個beam內包含beam_size個hypothesis。 2. grid beam search beam的傳播空間變成二維：橫向表示generate（模型生成hypothesis）或continue（繼續增加約束詞），斜向表示start（開始增加約束詞）。 二. 算法包含三層循環：1.時間步t. 2.約束詞數c. 3.當前beam
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相關文章
- 1. 論文閱讀：Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
- 2. 論文閱讀：Diverse Beam Search--Decoding Diverse Solutions from Neural Sequence Models
- 3. 論文閱讀：Sequence Generation by Editing Prototype
- 4. Reflective Decoding Network for Image Captioning論文閱讀
- 5. 文獻閱讀筆記-MASS： Masked Sequence to Sequence Pre-training for Language Generation
- 6. 【論文閱讀】 Real-time Personalization using Embeddings for Search Ranking at Airbnb
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- 8. 機器翻譯 | Grid Beam Search 和 Dynamic Beam Allocation 和 Cube Pruning (網格束搜索和動態束分配和球形剪枝)
- 9. 論文閱讀 Question Answering
- 10. 論文解讀：Sequence to Sequence Mixture Model for Diverse Machine Translation