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BENGAL: An Automatic Benchmark Generator for Entity Recognition and Linking

A. Ngomo, M. Röder, D. Moussallem, R. Usbeck, и R. Speck. Proceedings of the 11th International Conference on Natural Language Generation, Tilburg University, The Netherlands, November 5-8, 2018, стр. 339--349. Association for Computational Linguistics, (2018)

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Gertrud Usbeck

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GENESIS -- A Generic RDF Data Access InterfaceT. Ermilov, D. Moussallem, R. Usbeck, и A. Ngonga Ngomo. WI '17 - IEEE/WIC/ACM International Conference on Web Intelligence, стр. 7. ACM, (2017)AGDISTIS - Graph-Based Disambiguation of Named Entities Using Linked DataR. Usbeck, A. Ngonga Ngomo, M. Röder, D. Gerber, S. Coelho, S. Auer, и A. Both. The Semantic Web -- ISWC 2014, том 8796 из Lecture Notes in Computer Science, Springer International Publishing, (2014)Leveraging LLMs in Scholarly Knowledge Graph Question Answering.T. Taffa, и R. Usbeck. QALD/SemREC@ISWC, том 3592 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing.D. Banerjee, P. Nair, R. Usbeck, и C. Biemann. ACL (Findings), стр. 12219-12228. Association for Computational Linguistics, (2023)N³ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format.M. Röder, R. Usbeck, S. Hellmann, D. Gerber, и A. Both. LREC, стр. 3529-3533. European Language Resources Association (ELRA), (2014)Creative spaces in computer science.M. Kohler, R. Usbeck, и J. Edinger. it Inf. Technol., 66 (2-3): 39-41 (2024)A formalization of one of the main claims of "'Dunbar's number' deconstructed" by Lindenfors et al. 20211.R. Usbeck. Data Sci., 5 (1): 61-64 (2022)Modern Baselines for SPARQL Semantic Parsing.D. Banerjee, P. Nair, J. Kaur, R. Usbeck, и C. Biemann. SIGIR, стр. 2260-2265. ACM, (2022)Scholarly Question Answering Using Large Language Models in the NFDI4DataScience Gateway.H. Giglou, T. Taffa, R. Abdullah, A. Usmanova, R. Usbeck, J. D'Souza, и S. Auer. NSLP, том 14770 из Lecture Notes in Computer Science, стр. 3-18. Springer, (2024)Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs.M. Rony, D. Chaudhuri, R. Usbeck, и J. Lehmann. IEEE Access, (2022)