Christina Lioma

Christina Lioma

Professor

Medlem af:

    ORCID: 0000-0003-2600-2701

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    1. Udgivet

      An exploratory study into perceived task complexity, topic specificity, and usefulness for integrated search

      Ingwersen, P., Lioma, Christina, Larsen, B. & Wang, P., 2012, Proceedings of the 4th Information Interaction in Context Symposium. Association for Computing Machinery, s. 302-305 4 s.

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

    2. 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

    3. Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval

      Lioma, Christina, Macdonald, C., He, B., Plachouras, V. & Ounis, I., 2006, Accessing Multilingual Information Repositories, 6th Cross-Language Evaluation Forum, CLEF 2005, Vienna, Austria, 21-23 September, 2005, Revised Selected Papers. Springer, s. 170-178

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

    4. Basic Experimental Extractor (BEE): A Novel Approach to Automatic Text Summarisation.

      Lioma, Christina, 2003

      Publikation: Andet › Andet bidrag › Forskning

    5. Udgivet

      Comparative study of search engine result visualisation: ranked lists versus graphs

      Petersen, C., Lioma, Christina & Simonsen, Jakob Grue, 2013, Proceedings of the 3rd European Workshop on Human-Computer Interaction and Information Retrieval co-located with the 36th international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2013). Wilson, M. L., T. R-R., Larsen, B., Hansen, P. & Norling, K. (red.). s. 27-30 4 s. (CEUR Workshop Proceedings, Bind 1033).

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

    6. Udgivet

      Complex-valued Neural Network-based Quantum Language Models

      Zhang, P., Hui, W., Wang, B., Zhao, D., Song, D., Lioma, Christina & Simonsen, Jakob Grue, 2022, I: ACM Transactions on Information Systems. 40, 4, 31 s., 84.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    7. Udgivet

      Content-aware Neural Hashing for Cold-start Recommendation

      Hansen, C., Hansan, C., Simonsen, Jakob Grue, Alstrup, Stephen & Lioma, Christina, 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, s. 971-980 10 s.

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

    8. 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

    9. 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

    10. 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

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    ID: 37889644