Christina Lioma

Christina Lioma

Professor

Member of:


    1. Published

      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, p. 595-604 10 p.

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

    2. 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

    3. 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

    4. Published

      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, p. 553-562 10 p.

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

    ID: 37889644