Christina Lioma

Christina Lioma

Professor

Medlem af:

    ORCID: 0000-0003-2600-2701

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    1. Udgivet

      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, I: Information Fusion. 66, s. 184-197

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    2. Udgivet

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

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

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    3. Udgivet

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

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

      Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

    4. Udgivet

      Contextually propagated term weights for document representation

      Hansen, C., Hansen, C., Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 18 jul. 2019, SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, s. 897-900 (SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    5. Udgivet

      Unsupervised neural generative semantic hashing

      Hansen, C., Hansen, C., Simonsen, Jakob Grue, Alstrup, Stephen & Lioma, Christina, 2019, SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, s. 735-744 10 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    6. Udgivet

      The Copenhagen Team Participation in the Check-Worthiness Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 CheckThat! Lab

      Hansen, C., Hansen, C., Simonsen, Jakob Grue & Lioma, Christina, 2018, CLEF 2018 Working Notes. Cappellato, L., Ferro, N., Nie, J-Y. & Soulier, L. (red.). 10 udg. CEUR-WS.org, 8 s. 81. (CEUR Workshop Proceedings, Bind 2125).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    7. Udgivet

      Unsupervised Semantic Hashing with Pairwise Reconstruction

      Hansen, C., Hansen, 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, s. 2009-2012 4 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    8. Udgivet

      Neural check-worthiness ranking with weak supervision: Finding sentences for fact-checking

      Hansen, C., Hansen, C., Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 2019, The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, s. 994-1000 7 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    9. Udgivet

      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, s. 971-980 10 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    10. Udgivet

      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, s. 2095-2098 4 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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