[IJCAI-ECAI2018]Joint Extraction of Entities and Relations Based on a Novel Graph Scheme
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》
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- 5. 論文閱讀筆記－CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
- 6. 實體-關係聯合抽取：CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
- 7. embedding entities and relations for learning and inference knowledge base
- 8. 【PaperReading】GraphIE：A Graph-Based Framework for Information Extraction
- 9. Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
- 10. 實體-關係聯合抽取：Incremental Joint Extraction of Entity Mentions and Relations