Christina Lioma

Christina Lioma

Professor

Medlem af:


    1. 2014
    2. Udgivet

      Temporal context for authorship attribution: a study of Danish secondary schools

      Hansen, N. D., Lioma, Christina, Larsen, B. & Alstrup, Stephen, 2014, Multidisciplinary information retrieval: 7th Information Retrieval Facility Conference, IRFC 2014, Copenhagen, Denmark, November 10-12, 2014, Proceedings. Lamas, D. & Buitelaar, P. (red.). Springer, s. 22-40 19 s. (Lecture notes in computer science, Bind 8849).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    3. Udgivet

      User generated content search

      Blanco, R., Brea, M. E. A. & Lioma, Christina, 2014, Mining of user generated content. Chua, T-S. (red.). CRC Press, s. 167-186 10 s. (Social Media and Social Computing).

      Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

    4. 2015
    5. Udgivet

      A hierarchical recurrent encoder-decoder for generative context-aware query suggestion

      Sordoni, A., Bengio, Y., Vahabi, H., Lioma, Christina, Simonsen, Jakob Grue & Nie, J., 2015, CIKM '15 Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. Association for Computing Machinery, s. 553-562 10 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    6. Udgivet

      Entropy and graph based modelling of document coherence using discourse entities: an application to information retrieval

      Petersen, C., Lioma, Christina, Simonsen, Jakob Grue & Larsen, B., 2015, Proceedings of the 2015 International Conference on The Theory of Information Retrieval. Association for Computing Machinery, s. 191-200 10 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    7. Udgivet

      Non-compositional term dependence for information retrieval

      Lioma, Christina, Simonsen, Jakob Grue, Larsen, B. & Hansen, N. D., 2015, SIGIR '15: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, s. 595-604 10 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    8. Udgivet

      The impact of using combinatorial optimisation for static caching of posting lists

      Petersen, C., Simonsen, Jakob Grue & Lioma, Christina, 2015, Information retrieval technology: 11th Asia Information Retrieval Societies Conference, AIRS 2015, Brisbane, QLD, Australia, December 2-4, 2015. Proceedings. Zuccon, G., Geva, S., Joho, H., Scholer, F., Sun, A. & Zhang, P. (red.). Springer, s. 420-425 6 s. (Lecture notes in computer science, Bind 9460).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    9. 2016
    10. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    11. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    12. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    13. 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: KonferencebidragPaperForskningfagfællebedømt

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