Institute for Web Science and Technologies
FB 4: Informatik / Universität Koblenz
- 0261/287-2712
Baris Schlicht, Ipek; Sezerer, Erhan; Tekir, Selma et al.
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims.CoRR. Bd. abs/2108.03731. 2021
Boukhers, Zeyd; Beili, Nada; Hartmann, Timo et al.
MexPub: Deep Transfer Learning for Metadata Extraction from German Publications.CoRR. Bd. abs/2106.07359. 2021
Zhao, Zhixue; Zhang, Ziqi; Hopfgartner, Frank
Preprint: SS-BERT: Mitigating Identity Terms Bias in Toxic Comment Classification by Utilising the Notion of "Subjectivity" and "Identity Terms"CoRR. 2021
Kleanthous, Styliani; Otterbacher, Jahna; Bates, Jo et al.
Report on the CyCAT winter school on fairness, accountability, transparency and ethics (FATE) in AISIGIR Forum. Bd. 55. H. 1. New York, NY: ACM Association for Computing Machinery 2021 S. 4
Fallatah, Omaima; Zhang, Ziqi; Hopfgartner, Frank
A gold standard dataset for large knowledge graphs matchingPavel Shvaiko; Jérôme Euzenat; Ernesto Jiménez-Ruiz; Oktie Hassanzadeh; Cássia Trojahn (Hrsg). Proceedings of the 15th International Workshop on Ontology Matching OM 2015: Virtual conference (originally planned to be in Athens, Greece), November 2, 2020. Aachen: CEUR/RWTH 2020 S. 24 - 35
Koltcov, Sergei; Ignatenko, Vera; Boukhers, Zeyd et al.
Analyzing the Influence of Hyper-parameters and Regularizers of Topic Modeling in Terms of Renyi Entropy.Entropy. Bd. 22. H. 4. 2020 S. 394
Hunter, Anthony; Polberg, Sylwia; Thimm, Matthias
Epistemic graphs for representing and reasoning with positive and negative influences of argumentsArtificial Intelligence. Bd. 281. Amsterdam: Elsevier 2020 S. 103236
Gurrin, Cathal; Joho, Hideo; Hopfgartner, Frank et al.
Experiments in Lifelog Organisation and Retrieval at NTCIRTetsuya Sakai; Douglas W. Oard; Noriko Kando (Hrsg). Evaluating Information Retrieval and Access Tasks: NTCIR's Legacy of Research Impact. Singapore: Springer 2020 S. 187 - 203
Hopfgartner, Frank; Joho, Hideo; Gurrin, Cathal
Guest editorialOnline Information Review. Bd. 44. H. 2. Bradford: Emerald 2020 S. 477 - 481
Bates, Jo; Cameron, David; Checco, Alessandro et al.
Integrating FATE/Critical Data Studies into Data Science Curricula: Where are we going and how do we get there?Mireille Hildebrandt; Carlos Castillo; L. Elisa Celis; Salvatore Ruggieri; Linnet Taylor; Gabriela Zanfir-Fortuna (Hrsg). Proceedings of the FAT* 2020: Conference on Fairness, Accountability, and Transparency; Barcelona, Spain, January 27-30, 2020. New York, NY: ACM Association for Computing Machinery 2020 S. 425 - 435