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Copy file name to clipboardExpand all lines: topics/About Domain-Specific Knowledge Bases.md
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#### Domain Specific NER
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1. Learning Named Entity Tagger using Domain-Specific Dictionary [[Paper](https://arxiv.org/pdf/1809.03599.pdf)][[Notes](https://blog.csdn.net/Rock_y/article/details/108900106)]
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2. A Hybrid Generative/Discriminative Model for Rapid Prototyping of Domain-Specific Named Entity Recognition [[Paper](https://pdfs.semanticscholar.org/d14d/ece78249b2039aa748bf3c7381653224d345.pdf)]
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3. CHEMNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision (EMNLP 2021) [[Paper](https://aclanthology.org/2021.emnlp-main.424.pdf)]
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#### Domain Specific EL
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1. SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks (TKDE 2018) 🌟
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> * RGCN (with attention) for KG reasoning + text encoer of articles = learn the representation for each earticle, then formulate a classification problem to distinguish if a news is fake.
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> * The support KG: KnowLife: a versatile approach for constructing a large knowledge graph for biomedical sciences [[Paper](https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-015-0549-5.pdf)][[Website](http://knowlife.mpi-inf.mpg.de)]
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> * Similar basic code (text+GRU+RGCN): Learning to Update Knowledge Graphs by Reading News (EMNLP 2019) [[GitHub](https://github.com/esddse/GUpdater)]
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7. CHEMNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision (EMNLP 2021) [[Paper](https://aclanthology.org/2021.emnlp-main.424.pdf)]
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