Christina Lioma

Christina Lioma

Professor

Medlem af:

    ORCID: 0000-0003-2600-2701

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    1. 2019
    2. Udgivet

      Contextually propagated term weights for document representation

      Hansen, C., Hansen, C., 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    3. Udgivet

      Contextual compositionality detection with external knowledge bases and word embeddings

      Wang, D., Li, Q., Lima, L. C., 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    4. Udgivet

      Modelling End-of-Session Actions in Educational Systems

      Hansen, C., Hansen, C., 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    5. Udgivet

      Modelling Sequential Music Track Skips using a Multi-RNN Approach

      Hansen, C., Hansen, C., 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    6. Udgivet

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

      Augenstein, Isabelle, Lioma, Christina, Wang, D., Chaves Lima, L., Hansen, C., Hansen, C. & 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. 4684-4697

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    7. Udgivet

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

      Hansen, C., Hansen, C., 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    8. Udgivet

      Neural speed reading with structural-jump-LSTM

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

      Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

    9. Udgivet

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

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

      Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

    10. 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    11. Udgivet

      To Phrase or Not to Phrase – Impact of User versus System Term Dependence upon Retrieval

      Lioma, Christina, Larsen, B. & Ingwersen, P., 2019, I: Data and Information Management. 2, 1, s. 1-14

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    12. Udgivet

      Unsupervised neural generative semantic hashing

      Hansen, C., Hansen, C., Simonsen, Jakob Grue, Alstrup, Stephen & Lioma, Christina, 2019, SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, s. 735-744 10 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    13. 2018
    14. Udgivet

      Predicting Antimicrobial Drug Consumption Using Web Search Data

      Hansen, N. D., Mølbak, Kåre, Cox, Ingemar Johansson & Lioma, Christina, 2018, Proceedings of the 2018 International Conference on Digital Health. Association for Computing Machinery, s. 133-142 10 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    15. Udgivet

      The Copenhagen Team Participation in the Check-Worthiness Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 CheckThat! Lab

      Hansen, C., Hansen, C., Simonsen, Jakob Grue & Lioma, Christina, 2018, CLEF 2018 Working Notes. Cappellato, L., Ferro, N., Nie, J-Y. & Soulier, L. (red.). 10 udg. CEUR-WS.org, 8 s. 81. (CEUR Workshop Proceedings, Bind 2125).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    16. Udgivet

      The Copenhagen team participation in the factuality task of the competition of automatic identification and verification of claims in political debates of the CLEF-2018 Fact Checking Lab

      Wang, D., Simonsen, Jakob Grue, Larsen, B. & Lioma, Christina, 2018, CLEF 2018 Working Notes. Cappellato, L., Ferro, N., Nie, J-Y. & Soulier, L. (red.). 10 udg. CEUR-WS.org, 10 s. 98. (CEUR Workshop Proceedings, Bind 2125).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    17. 2017
    18. Udgivet

      A study of metrics of distance and correlation between ranked lists for compositionality detection

      Lioma, Christina & Hansen, N. D., aug. 2017, I: Cognitive Systems Research. 44, s. 40-49 10 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    19. Udgivet

      Sequence Modeling for Analysing Student Interaction with Educational Systems

      Hansen, C., Hansen, C., Hjuler, N. O. D., Alstrup, Stephen & Lioma, Christina, 25 jun. 2017, Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017. Hu, X., Barnes, T., Hershkovitz, A. & Paquette, L. (red.). International Educational Data Mining Society (IEDMS), s. 232-237 (Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25 – 28, 2017).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    20. Udgivet

      Evaluation measures for relevance and credibility in ranked lists

      Lioma, Christina, Simonsen, Jakob Grue & Larsen, B., 2017, Proceedings of the 2017 ACM SIGIR International Conference on Theory of Information Retrieval. Association for Computing Machinery, s. 91-98 8 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    21. Udgivet

      Seasonal Web Search Query Selection for Influenza-Like Illness (ILI) Estimation

      Hansen, N. D., Mølbak, K., Cox, Ingemar Johansson & Lioma, Christina, 2017, SIGIR '17 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, s. 1197-1200

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    22. Udgivet

      Smart city analytics: ensemble-learned prediction of citizen home care

      Hansen, C., Hansen, C., Alstrup, Stephen & Lioma, Christina, 2017, Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, s. 2095-2098 4 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    23. Udgivet

      Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries

      Dalum Hansen, N., Mølbak, Kåre, Cox, Ingemar Johansson & Lioma, Christina, 2017, Proceedings of the 26th International Conference on World Wide Web Companion. International World Wide Web Conferences Steering Committee, s. 773-774

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    24. 2016
    25. Udgivet

      A study of factuality, objectivity and relevance: three desiderata in large-scale information retrieval?

      Lioma, Christina, Larsen, B., Lu, W. & Huang, Y., 2016, Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. Association for Computing Machinery, s. 107-117 11 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    26. Udgivet

      Adaptive distributional extensions to DFR ranking

      Petersen, C., Simonsen, Jakob Grue, Järvelin, K. & Lioma, Christina, 2016, Proceedings of the 25th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, s. 2005-2008 4 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    27. Udgivet

      An improved multileaving algorithm for online ranker evaluation

      Brost, B., Cox, Ingemar Johansson, Seldin, Yevgeny & Lioma, Christina, 2016, Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval: SIGIR '16. Association for Computing Machinery, s. 745-748 4 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    28. Udgivet

      Deep learning relevance: creating relevant information (as opposed to retrieving it)

      Lioma, Christina, Larsen, B., Petersen, C. & Simonsen, Jakob Grue, 2016. 6 s.

      Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

    29. Udgivet

      Ensemble learned vaccination uptake prediction using web search queries

      Hansen, N. D., Lioma, Christina & Mølbak, K., 2016, Proceedings of the 25th ACM International Conference on Information and Knowledge Management. IEEE, s. 1953-1956 4 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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