Christina Lioma

Christina Lioma

Professor


  1. 2011
  2. 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. s. 793-803 11 s.

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

  3. Expanding queries with term and phrase translations in patent retrieval

    Jochim, C., Lioma, Christina & Schütze, H., 1 jan. 2011, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Bind 6653 LNCS. s. 16-29 14 s.

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

  4. Udgivet

    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. (red.). Springer, s. 356-359 4 s. (Lecture notes in computer science, Bind 6931).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Sense Discrimination for Physics Retrieval

    Lioma, Christina, Kothari, A. & Schuetze, H., 2011, SIGIR’11: July 24–28, 2011, Beijing, China. Association for Computing Machinery, s. 1101 - 1102

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. User Perspectives on Query Difficulty

    Lioma, Christina, Larsen, B. & Schütze, H., 2011, Advances in Information Retrieval Theory: Lecture Notes in Computer Science, 2011, Volume 6931/2011, 3-14, DOI: 10.1007/978-3-642-23318-0_3 . Springer, Bind 6931/2011. s. 3-14 (Lecture notes in computer science).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

ID: 37889644