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[IJCAI-ECAI2018]Joint Extraction of Entities and Relations Based on a Novel Graph Scheme
時間 2020-12-23
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event extraction
joint decoding
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之前看的文章都是參數共享,該文章是 剛看完,覺得還是非常不錯的. 大概瞭解下本文要做的任務,即要識別實體,又要判斷實體之間的關係,由圖1給出的例子中,單詞1(Join)是實體,類型是person, 單詞4,5 (Los Angeles)是實體,類型是地點,以此...., 然後是三個實體之間的關係.本文文章不是參數共享,而是已知的第一篇在神經網絡中用的joint decoding. 實體的識別和關係
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相關文章
1.
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy (ECAI2020)
2.
[ACL2017]Going out on a limb:Joint Extraction of Entity Mentions and Relations without Depende...
3.
【Bilinear Pooling】《A Novel DR Classfication Scheme based on Compact Bilinear Pooling CNN and GBDT》
4.
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5.
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6.
實體-關係聯合抽取:CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
7.
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8.
【PaperReading】GraphIE:A Graph-Based Framework for Information Extraction
9.
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10.
實體-關係聯合抽取:Incremental Joint Extraction of Entity Mentions and Relations
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