[Coling2018]SGM: Sequence Geneatin Model for Multi-Label Classificatin
這篇文章是Coling2018年的best paper, 因爲之前解決multi-label問題都是用分類的方法，本文提供了一種新思路，用生成的方式解決該問題。覺得還是挺新穎的，記錄一下。 一：任務介紹 Multi-label classification(MLC) is to assign multiple labels to each instance in the dataset 就是針對數
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相關文章
- 1. Write a Sequence to Sequence (seq2seq) Model
- 2. Sequence Model (二)
- 3. Sequence Model (三)
- 4. Sequence Model (四)
- 5. Sequence Model Week1
- 6. Sequence Model Week3
- 7. Sequence Model Week2
- 8. 論文解讀：Sequence to Sequence Mixture Model for Diverse Machine Translation
- 9. CVPR 2018 Convolutional Sequence to Sequence Model for Human Dynamics 論文解讀
- 10. 【讀】seq2seq——（8）A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for TextSum