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Old is gold: linguistic driven approach for entity and relation linking of short text

A. Sakor, I. Mulang, K. Singh, S. Shekarpour, M. Vidal, J. Lehmann, и S. Auer. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), стр. 2336--2346. (2019)

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Isaiah Munang Ayafor

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Investigating Expressiveness of Transformer in Spectral Domain for Graphs.A. Bastos, A. Nadgeri, K. Singh, H. Kanezashi, T. Suzumura, и I. Mulang'. CoRR, (2022)Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models.I. Mulang', K. Singh, C. Prabhu, A. Nadgeri, J. Hoffart, и J. Lehmann. CIKM, стр. 2157-2160. ACM, (2020)How Expressive are Transformers in Spectral Domain for Graphs?A. Bastos, A. Nadgeri, K. Singh, H. Kanezashi, T. Suzumura, и I. Mulang'. Trans. Mach. Learn. Res., (2022)Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text.A. Sakor, I. Mulang', K. Singh, S. Shekarpour, M. Vidal, J. Lehmann, и S. Auer. NAACL-HLT (1), стр. 2336-2346. Association for Computational Linguistics, (2019)Ranking Facts for Explaining Answers to Elementary Science Questions.J. D'Souza, I. Mulang', и S. Auer. CoRR, (2021)Sparsity-based Feature Selection for Anomalous Subgroup Discovery.G. Tadesse, W. Ogallo, C. Wanjiru, C. Wachira, I. Mulang', V. Anand, A. Walcott-Bryant, и S. Speakman. CoRR, (2022)Matching Natural Language Relations to Knowledge Graph Properties for Question Answering.I. Mulang', K. Singh, и F. Orlandi. SEMANTiCS, стр. 89-96. ACM, (2017)KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction.A. Nadgeri, A. Bastos, K. Singh, I. Mulang', J. Hoffart, S. Shekarpour, и V. Saraswat. ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 535-548. Association for Computational Linguistics, (2021)Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking.I. Mulang', K. Singh, A. Vyas, S. Shekarpour, M. Vidal, и S. Auer. WISE (1), том 12342 из Lecture Notes in Computer Science, стр. 328-342. Springer, (2020)HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations.A. Bastos, K. Singh, A. Nadgeri, S. Shekarpour, I. Mulang', и J. Hoffart. CIKM, стр. 89-99. ACM, (2021)