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  1. Published

    Entity Linking with Out-of-Knowledge-Graph Entity Detection and Clustering Using Only Knowledge Graphs

    Möller, C. & Usbeck, R., 11.09.2024, Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI- : Proceedings of the 20th International Conference on Semantic Systems, 17-19 September 2024, Amsterdam, The Netherlands. Salatino, A. A., Alam, M., Ongenae, F., Vahdati, S., Gentile, A. L., Pellegrini, T. & Jiang, S. (eds.). Amsterdam: IOS Press BV, p. 88-105 18 p. (Studies on the Semantic Web; vol. 60).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  2. E-pub ahead of print

    Identifying clinically relevant agranulocytosis in people registered on the UK clozapine Central Non-Rechallenge Database: retrospective cohort study

    Oloyede, E., Bachmann, C. J., Dzahini, O., Lopez Alcaraz, J. M., Singh, S. D., Vallianatou, K., Funk, B., Whiskey, E. & Taylor, D., 16.08.2024, (E-pub ahead of print) In: The British Journal of Psychiatry. 8 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing: The 62nd Annual Meeting of the Association of Computational Linguistics; August 15, 2024; TextGraphs @ ACL 2024

    Ustalov, D. (ed.), Gao, Y. (ed.), Pachenko, A. (ed.), Tutubalina, E. (ed.), Nikishina, I. (ed.), Ramesh, A. (ed.), Sakhovskiy, A. (ed.), Usbeck, R. (ed.), Penn, G. (ed.) & Valentino, M. (ed.), 01.08.2024, Kerrville: Association for Computational Linguistics (ACL). 162 p.

    Research output: Books and anthologiesConference proceedingsResearch

  4. Published

    TextGraphs 2024 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering

    Sakhovskiy, A., Salnikov, M., Nikishina, I., Usmanova, A., Kraft, A., Möller, C., Banerjee, D., Huang, J., Jiang, L., Abdullah, R., Yan, X., Ustalov, D., Tutubalina, E., Usbeck, R. & Panchenko, A., 01.08.2024, Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing. Ustalov, D., Gao, Y., Pachenko, A., Tutubalina, E., Nikishina, I., Ramesh, A., Sakhovskiy, A., Usbeck, R., Penn, G. & Valentino, M. (eds.). Kerrville: Association for Computational Linguistics (ACL), p. 116-125 10 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  5. Published
  6. Published

    Social Actor or Technology? Experimental Studies on the Perception of Chatbots Versus Humans and Their Implications for Anthropomorphic Chatbot Design

    Seitz, L., 27.05.2024, Lüneburg: Medien- und Informationszentrum, Leuphana Universität Lüneburg. 275 p.

    Research output: Books and anthologiesDissertations

  7. E-pub ahead of print

    Dataset size versus homogeneity: A machine learning study on pooling intervention data in e-mental health dropout predictions

    Zantvoort, K., Hentati Isacsson, N., Funk, B. & Kaldo, V., 15.05.2024, (E-pub ahead of print) In: Digital Health. 10, 10 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data

    Amangeldi, D., Usmanova, A. & Shamoi, P., 07.03.2024, In: IEEE Access. 12, p. 33504-33523 20 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    Surveying the FAIRness of Annotation Tools: Difficult to find, difficult to reuse

    Borisova, E., Abu Ahmad, R., Garcia-Castro, L. J., Usbeck, R. & Rehm, G., 01.03.2024, LAW 2024 - 18th Linguistic Annotation Workshop, Co-located with EACL 2024 - Proceedings of the Workshop: Proceedings of the Workshop. Henning, S. & Stede, M. (eds.). Stroudsburg: Association for Computational Linguistics (ACL), p. 29-45 17 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  10. Published

    Masked Autoencoder Pretraining for Event Classification in Elite Soccer

    Rudolph, Y. & Brefeld, U., 26.02.2024, Machine Learning and Data Mining for Sports Analytics: 10th International Workshop, MLSA 2023, Revised Selected Papers. Brefeld, U., Davis, J., Van Haaren, J. & Zimmermann, A. (eds.). Cham: Springer Nature Switzerland AG, p. 24-35 12 p. (Communications in Computer and Information Science; vol. 2035).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

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