Christina Lioma

Christina Lioma

Professor

ORCID: 0000-0003-2600-2701

Udgivelsesår:
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  1. 2015
  2. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  5. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

ID: 37889644