Christina Lioma

Christina Lioma

Professor

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    ORCID: 0000-0003-2600-2701

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    1. Published

      Fact Checking with Insufficient Evidence

      Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2022, In: Transactions of the Association for Computational Linguistics. 10, p. 746-763

      Research output: Contribution to journal › Journal article › Research › peer-review

    2. Published

      Generating Fact Checking Explanations

      Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2020, : Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 7352-7364

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    3. Published

      A Diagnostic Study of Explainability Techniques for Text Classification

      Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 3256-3274

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    4. Published

      Faithfulness Tests for Natural Language Explanations

      Atanasova, Pepa Kostadinova, Camburu, O. M., Lioma, Christina, Lukasiewicz, T., Simonsen, Jakob Grue & Augenstein, Isabelle, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics (ACL), p. 283-294 12 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    5. Published

      Diagnostics-Guided Explanation Generation

      Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2022, In: Proceedings of the International Joint Conference on Artificial Intelligence. 36, 10, p. 10445-10453.

      Research output: Contribution to journal › Conference article › Research

    6. Published

      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, p. 4684-4697

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    7. Published

      Random walk term weighting for information retrieval

      Blanco, R. & Lioma, Christina, 1 Jan 2007, Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07. p. 829-830 2 p.

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    8. Graph-based term weighting for information retrieval

      Blanco, R. & Lioma, Christina, 2012, In: Information Retrieval. 15, 1, p. 54-92 39 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    9. Mixed monolingual homepage finding in 34 languages: the role of language script and search domain

      Blanco, R. & Lioma, Christina, 2009, In: Information Retrieval. 12, 3, p. 324-351 28 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    10. Published

      User generated content search

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

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    11. Published

      Is artificial intelligence magic dust for big-science facilities?

      Nunes Bordallo, Heloisa, Lioma, Christina, Taylor, J. & Argyriou, D. N., 1 Jan 2020, In: IUCrJ. 7, Pt 1, p. 1-2

      Research output: Contribution to journal › Editorial › Research › peer-review

    12. Published

      Learning Recommendations from User Actions in the Item-poor Insurance Domain

      Bruun, Simone Borg, Maistro, Maria & Lioma, Christina, 2022, RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc., p. 113-123 11 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    13. Published

      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, p. 745-748 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    14. Published

      Multi-dueling bandits and their application to online ranker evaluation

      Brost, B., Seldin, Yevgeny, Cox, Ingemar Johansson & Lioma, Christina, 2016, Proceedings of the 25th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2161-2166 6 p. (ACM International Conference on Information and Knowledge Management).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    15. Published

      Graph-Based Recommendation for Sparse and Heterogeneous User Interactions

      Bruun, Simone Borg, Leśniak, K. K., Biasini, M., Carmignani, V., Filianos, P., Lioma, Christina & Maistro, Maria, 2023, Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Caputo, A. & Kruschwitz, U. (eds.). Springer, p. 182-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13980 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    16. Published

      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, p. 773-774

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    17. Published

      Specialised tools are needed when searching the web for rare disease diagnoses

      Dragusin, R., Petcu, P., Lioma, Christina, Larsen, B., Jørgensen, H. L., Cox, I., Hansen, L. K., Ingwersen, P. & Winther, O., 2013, In: Rare Diseases. 1, 1, 4 p., e25001.

      Research output: Contribution to journal › Journal article › Research › peer-review

    18. Published

      FindZebra: a search engine for rare diseases

      Dragusin, R., Petcu, P., Lioma, Christina, Larsen, B., Jørgensen, H. L., Cox, Ingemar Johansson, Hansen, L. K., Ingwersen, P. & Winther, O., 2013, In: International Journal of Medical Informatics. 82, 6, p. 528-538 11 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    19. Published

      Zebra: searching for rare diseases: a case of task-based search in the medical domain

      Dragusin, R., Petcu, P., Lioma, Christina & Winther, O., 2012, Proceedings of the ECIR 2012 Workshop on Task-Based and Aggregated Search (TBAS2012). Larsen, B., Lioma, C. & de Vries, A. (eds.). p. 36-39 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    20. Published

      Rare disease diagnosis as an information retrieval task

      Dragusin, R., Petcu, P., Lioma, Christina, Larsen, B., Jørgensen, H. & Winther, O., 2011, Advances in Information Retrieval Theory: Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings. Amati, G. & Crestani, F. (eds.). Springer, p. 356-359 4 p. (Lecture notes in computer science, Vol. 6931).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    21. Published

      What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis

      Gkoumas, D., Li, Qiuchi, Lioma, Christina, Yu, Y. & Song, D., 2021, In: Information Fusion. 66, p. 184-197

      Research output: Contribution to journal › Journal article › Research › peer-review

    22. Published

      The tipping point: F-score as a function of the number of retrieved items

      Guns, R., Lioma, Christina & Larsen, B., 2012, In: Information Processing & Management. 48, 6, p. 1171-1180

      Research output: Contribution to journal › Journal article › Research › peer-review

    23. Published

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

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

      Research output: Contribution to journal › Conference article › Research › peer-review

    24. Published

      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, p. 971-980 10 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    25. Published

      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, p. 2095-2098 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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