Publications

Kovacs, A., Gemes, K., Kornai, A., Recski, G. (2020) BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs, ACL Anthology, Proceedings of the 14th International Workshop on Semantic Evaluation, Barcelona, Spain (Online), December 12, 2020.
Hofstätter, S., Hanbury, A. (2020) Evaluating Transformer-Kernel Models at TREC Deep Learning 2020, NIST Special Publication: The Twenty-Ninth Text REtrieval Conference Proceedings (TREC 2020).
Brandić, I. (2020) Disrupting energy, Singularity University, chapter Vienna, Salon#12, Vienna.
Aral, A., De Maio, V. (2020) Simulators and Emulators for Edge Computing, IET The Institution of Engineering and Technology, Edge Computing: Models, Technologies and Applications.
Sacharidis, D., Mukamakuza, C., Werthner, H. (2020) Fairness and Diversity in Social-Based Recommender Systems, Association for Computing Machinery, New York, NY, USA, UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization.
Heiler, G., Hanbury, A. (2020) Comparing Implementation Variants Of Distributed Spatial Join on Spark, 2019 IEEE International Conference on Big Data (Big Data).
Hofstätter, S., Lipani, A., Zlabinger, M., Hanbury, A. (2020) Learning to Re-Rank with Contextualized Stopwords, Proceedings of the 29th ACM International Conference on Information & Knowledge Management.
Marakasova, A., Neidhardt, J. (2020) Short-term Semantic Shifts and their Relation to Frequency Change, Proceedings of the Probability and Meaning Conference (PaM 2020).
Hanbury, A. (2020) Corona und die Wissenschaft. Panel Diskussion., 27. TU Forum: Corona und die Wissenschaft, Wien (online).
Aral, A., Uriarte, R., Simonet-Boulogne, A., Brandić, I. (2020) Reliability Management for Blockchain-Based Decentralized Multi-Cloud, IEEE, 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID).
Ion, M., Sacharidis, D., Werthner, H. (2020) Designing a recommender system for board games, SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing, March 2020.
Hanbury, A. (2020) Supporting Systematic Reviews in Medicine, WOSP 2020 - 8th International Workshop on Mining Scientific Publications, Wuhan, China (online).
Hofstätter, S., Zamani, H., Mitra, B., Craswell, N. (2020) Local Self-Attention over Long Text for Efficient Document Retrieval, Association for Computing Machinery, New York, NY, United States, SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval.
Aral, A. (2020) Distributed Training Under Node and Link Failures, 6G Research Visions Webinar Series: Edge Intelligence, Helsinki, Finland (Online Webinar).
Lujić, I., De Maio, V., Brandić, I. (2020) Resilient Edge Data Management Framework, IEEE Transactions on Services Computing, 13-4.
Zlabinger, M., Hofstätter, S., Rekabsaz, N., Hanbury, A. (2020) DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations, Springer Nature Switzerland AG 2021, Advances in Information Retrieval 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II.
Hofstätter, S., Zlabinger, M., Hanbury, A. (2020) Interpretable & time-budget-constrained contextualization for re-ranking, IOS Press, ECAI 2020 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020).
Sabou, R., Käsznar, K., Zlabinger, M., Biffl, S. (2020) Verifying Extended Entity Relationship Diagrams with Open Tasks, Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing, HCOMP.
Hanbury, A. (2020) Von der KI Forschung zum Produkt - Herausforderungen und Erfolge, Workshop: Künstliche Intelligenz in der Gesundheit, Regensburg, Germany (online).
Werthner, H. (2020) Das Wiener Manifest für Digitalen Humanismus., Ecowin, Digitaler Wandel und Ethik.
Zlabinger, M., Sabou, R., Hofstätter, S., Hanbury, A. (2020) Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports, The Association for Computational Linguistics, Findings of the Association for Computational Linguistics: EMNLP 2020.
Hofstätter, S., Zlabinger, M., Hanbury, A. (2020) Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results, Springer, Advances in Information Retrieval 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II.
Recski, G., Kovacs, A., Gemes, K., Ács, J. (2020) BME-TUW at SR´20: Lexical grammar induction for surface realization, Proceedings of the Third Workshop on Multilingual Surface Realisation (MSR´20).
Sacharidis, D. (2020) Building User Trust in Recommendations via Fairness and Explanations, Association for Computing Machinery, New York, NY, USA, UMAP '20 Adjunct: Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization.

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