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Relation Linking and Relation Disambiguation.md

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Linking and Disambiguation of Relational Phrases

Relation Linking

  1. Matching natural language relations to knowledge graph properties for question answering (ReMatch, SEMANTICS 2017)
  2. Capturing knowledge in semantically-typed relational patterns to enhance relation linking (SIBKB, K-CAP 2017)

Joint Entity and Relation Linking

  1. Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text (FALCON, NAACL-HLT 2019)[Paper][Code][Demo][Notes] (DBpedia)
  2. Falcon 2.0: An Entity and Relation Linking Tool over Wikidata (Falcon 2.0, CIKM 2020) [Paper][Code and Datasets] (Wikidata)
  3. EARL: Joint Entity and Relation Linking for Question Answering (EARL, ISWC 2018) [Paper][Code] (DBpedia)
  4. KBPearl: A Knowledge Base Population System Supported by Joint Entity and Relation Linking (VLDB 2020) 🌟 [Paper]
  5. Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population (IJCNN 2020) [Paper]
  • Relations are pre-defined based on the target knowledge base.
  • Neural networks are applied to automatically encode sentence semantics, which is a powerful way to model large-scale noisy text.
  1. J-REED: Joint Relation Extraction and Entity Disambiguation (CIKM 2017 short paper) [Paper]
  • J-REED is based on probabilistic graphical models that captures the interdependencies between entities and relations.
  • J-REED consides which lexical types of entities are compatible with the type signature of which relation (but the experiments are only conducted on the PERSON-type entities).
  1. Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines (ICWE 2021) [Paper]
  2. TENET: Joint Entity and Relation Linking with Coherence Relaxation (SIGMOD 2021) 🌟