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[EMNLP2015]Distant supervision for Relation Extraction via Piecewise Convolutional Neural Networks
時間 2021-01-02
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PCNN
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paper中提高兩個概念: (1)distant supervision: 如果兩個實體在已知知識庫中有關係,則包含這兩個實體的中,兩個實體的的關係默認就是知識庫中給定的關係, 因爲人工標註語料代價大,所以一般用distant supervision標註語料 (2)multi-instance learning:訓練語料是很多帶有正負標籤的包,每個包裏有很多示例,如果一個包裏包含至少一個示例是正標
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相關文章
1.
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
2.
[論文研讀]Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
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4.
NLP——Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
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【論文閱讀筆記PCNN】Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
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【Part two: Related Work】Relation Extraction with Distant Supervision(DS)
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10.
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