Learning to Generate Questions by Learning What not to Generate閱讀筆記
再次調試代碼後 簡單記錄了項目的結構和主要流程 一 加載數據集，用spacy進行預處理，提取詞彙特徵，保存成.pkl文件。 二 做嵌入，通過glove文件嵌入初始化每個向量，原文是glove.500B.100d.txt,運行內存不足，我換成了glove.6B.50d.txt.在prepro_util.py文件裏做單詞嵌入、答案位置嵌入、ner、pos、dep、iob等嵌入，得到嵌入矩陣和字典，構
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相關文章
- 1. learning to generate question headlines 講座
- 2. Learning to Ask Good Questions筆記
- 3. 【論文筆記】Representation Learning by Learning to Count
- 4. LEARNING TO NAVIGATE IN COMPLEX ENVIRONMENTS 閱讀筆記
- 5. 軌跡生成路網論文研讀：Learning to Generate Maps from Trajectories
- 6. Neural machine translation by jointly learning to align and translate論文閱讀筆記
- 7. Machine Learning & Deep Learning 論文閱讀筆記
- 8. Neural Machine Translation by Jointly Learning to Align and Translate閱讀筆記
- 9. 《Neural Machine Translation by Jointly Learning to Align and Translate》閱讀筆記
- 10. ICCV 2015 Learning to Track: Online Multi-Object Tracking by Decision Making 閱讀筆記