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RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network., , , , , , и . WWW, стр. 1673-1685. ACM / IW3C2, (2021)Keyword-driven Resource Disambiguation over RDF Knowledge bases, , и . Proceedings of JIST, (2012)HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations., , , , , и . CIKM, стр. 89-99. ACM, (2021)Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking., , , , , и . WISE (1), том 12342 из Lecture Notes in Computer Science, стр. 328-342. Springer, (2020)A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research., , , , , и . WebSci, стр. 33-36. ACM, (2018)No one is perfect: Analysing the performance of question answering components over the DBpedia knowledge graph., , , , , и . J. Web Semant., (2020)SINA: Semantic interpretation of user queries for question answering on interlinked data, , , и . J. Web Semant., (2015)Metrics for Evaluating Quality of Embeddings for Ontological Concepts., , , и . AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, том 2350 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction., , , , , , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 535-548. Association for Computational Linguistics, (2021)Query Segmentation and Resource Disambiguation Leveraging Background Knowledge, , и . Proceedings of WoLE Workshop, (2012)