Christina Lioma

Christina Lioma

Professor


  1. 2020
  2. Udgivet

    Is artificial intelligence magic dust for big-science facilities?

    Nunes Bordallo, Heloisa, Lioma, Christina, Taylor, J. & Argyriou, D. N., 1 jan. 2020, I : IUCrJ. 7, Pt 1, s. 1-2 2 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. 2019
  4. Udgivet

    Contextually propagated term weights for document representation

    Hansen, Casper, Hansen, Christian, Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 18 jul. 2019, SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, s. 897-900 (SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Udgivet

    Contextual compositionality detection with external knowledge bases and word embeddings

    Wang, Dongsheng, Li, Q., Chaves Lima, Lucas, Simonsen, Jakob Grue & Lioma, Christina, 2019, The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, s. 317-323 7 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. Udgivet

    Modelling End-of-Session Actions in Educational Systems

    Hansen, Christian, Hansen, Casper, Alstrup, Stephen & Lioma, Christina, 2019, Proceedings of The 12th International Conference on Educational Data Mining (EDM 2019). Université du Québec à Montréal, s. 306-311

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet

    Modelling Sequential Music Track Skips using a Multi-RNN Approach

    Hansen, Christian, Hansen, Casper, Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 2019, WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, 4 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. Udgivet

    MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

    Augenstein, Isabelle, Lioma, Christina, Wang, Dongsheng, Chaves Lima, Lucas, Hansen, Casper, Hansen, Christian & Simonsen, Jakob Grue, 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, s. 4684-4696

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. Udgivet

    Neural check-worthiness ranking with weak supervision: Finding sentences for fact-checking

    Hansen, Casper, Hansen, Christian, Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 2019, The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, s. 994-1000 7 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Udgivet

    Neural speed reading with structural-jump-LSTM

    Hansen, Christian, Hansen, Casper, Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 2019.

    Publikation: KonferencebidragPaperForskningfagfællebedømt

  11. Udgivet

    Neural weakly supervised fact check-worthiness detection with contrastive sampling-based ranking loss

    Hansen, Casper, Hansen, Christian, Simonsen, Jakob Grue & Lioma, Christina, 2019, I : CEUR Workshop Proceedings. 2380, 8 s.

    Publikation: Bidrag til tidsskriftKonferenceartikelForskningfagfællebedømt

  12. Udgivet

    Relationship Between Media Coverage and Measles-Mumps-Rubella (MMR) Vaccination Uptake in Denmark: Retrospective Study

    Hansen, N. D., Molbak, K., Cox, Ingemar Johansson & Lioma, Christina, 2019, I : JMIR Public Health and Surveillance. 5, 1, s. 209-220 e9544.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

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ID: 37889644