Christina Lioma

Christina Lioma

Professor

Member of:


    1. A Logical Inference Approach to Query Expansion with Social Tags

      Lioma, Christina, Blanco, R. & Moens, M., 2009, ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory. p. 358-361

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    2. Published

      Fixed versus dynamic co-occurrence windows in TextRank term weights for information retrieval

      Lu, W., Cheng, Q. & Lioma, Christina, 2012, Proceedings of the 35th international ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 1079-1080 2 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    3. Published

      University of Glasgow at WebCLEF 2005: Experiments in per-field normalisation and language specific stemming

      Macdonald, C., Plachouras, V., He, B., Lioma, Christina & Ounis, I., 1 Jan 2006, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4022 LNCS. p. 898-907 10 p.

      Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

    4. Published

      Principled Multi-Aspect Evaluation Measures of Rankings

      Maistro, Maria, Lima, L. C., Simonsen, Jakob Grue & Lioma, Christina, 2021, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc, p. 1232-1242

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    5. A cascaded classification approach to semantic head recognition

      Michelbacher, L., Kothari, A., Lioma, Christina, Schütze, H. & Forst, M., 1 Jan 2011, EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. p. 793-803 11 p.

      Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

    6. Research Directions in Terrier: a Search Engine for Advanced Retrieval on the Web

      Ounis, I., Lioma, Christina, Macdonald, C. & Plachouras, V., 2007, In: Novatica. VIII, 1, p. 49-56

      Research output: Contribution to journalJournal articleResearchpeer-review

    7. Published

      Terrier: A high performance and scalable information retrieval platform

      Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C. & Lioma, Christina, 2006, In: Proceedings of the OSIR Workshop. p. 18-25 8 p.

      Research output: Contribution to journalJournal articleResearch

    8. Published

      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, p. 191-200 10 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    9. Published

      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. (eds.). Springer, p. 420-425 6 p. (Lecture notes in computer science, Vol. 9460).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    10. Published

      Power law distributions in information retrieval

      Petersen, C., Simonsen, Jakob Grue & Lioma, Christina, 2016, In: A C M Transactions on Information Systems. 34, 2, 37 p., 8.

      Research output: Contribution to journalJournal articleResearchpeer-review

    ID: 37889644