Deep Learning for Extreme Multi-label Text Classification
一、背景介紹 1、研究背景：Multi-label和二分類、多分類研究的內容本身就不太一樣，並且Multi-label的數據稀疏問題比單一分類更嚴重，因此很難學習label之間的依賴關係。 2、研究問題：Extreme Multi-label Text Classification（XMTC）研究的是在一個非常大的標籤空間中，爲每一個文檔找到最相關的若干標籤（例如Wikipedia） 3、相關工作
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相關文章
- 1. Week1.3 Simple deep learning for text classification
- 2. Deep Learning for Extreme Multi-label Text Classification閱讀筆記
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- 9. 《Deep learning for time series classification a review》筆記
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