Research output per year
Research output per year
Search results
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2019
Neural check-worthiness ranking with weak supervision: Finding sentences for fact-checking
Hansen, C., Hansen, C., Alstrup, S., Simonsen, J. G. & Lioma, C., 2019, The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, p. 994-1000 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Neural speed reading with structural-jump-LSTM
Hansen, C., Hansen, C., Alstrup, S., Simonsen, J. G. & Lioma, C., 2019.Research output: Contribution to conference › Paper › Research › peer-review
6 Citations (Scopus) -
Neural weakly supervised fact check-worthiness detection with contrastive sampling-based ranking loss
Hansen, C., Hansen, C., Simonsen, J. G. & Lioma, C., 2019, In: CEUR Workshop Proceedings. 2380, 8 p.Research output: Contribution to journal › Conference article › Research › peer-review
2 Citations (Scopus) -
Predicting distresses using deep learning of text segments in annual reports
Matin, R., Hansen, C., Hansen, C. & Mølgaard, P., 2019, In: Expert Systems with Applications. 132, p. 199-208 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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2018
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, J. G. & Lioma, C., 2018, CLEF 2018 Working Notes. Cappellato, L., Ferro, N., Nie, J-Y. & Soulier, L. (eds.). 10 ed. CEUR-WS.org, 8 p. 81. (CEUR Workshop Proceedings, Vol. 2125).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
4 Citations (Scopus)79 Downloads (Pure) -
2017
DABAI: A data driven project for e-Learning in Denmark
Alstrup, S., Hansen, C., Hansen, C., Hjuler, N., Lorenzen, S. & Pham, N., 1 Jan 2017, ECEL17 - Proceedings of the 16th European Conference on e-Learning. Peres, P. & Mesquita, A. (eds.). Academic Conferences and Publishing International, p. 18-24 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
1 Citation (Scopus) -
Sequence Modeling for Analysing Student Interaction with Educational Systems
Hansen, C., Hansen, C., Hjuler, N. O. D., Alstrup, S. & Lioma, C., 25 Jun 2017, Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017. Hu, X., Barnes, T., Hershkovitz, A. & Paquette, L. (eds.). International Educational Data Mining Society (IEDMS), p. 232-237 (Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25 – 28, 2017).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Smart city analytics: ensemble-learned prediction of citizen home care
Hansen, C., Hansen, C., Alstrup, S. & Lioma, C., 2017, Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2095-2098 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review