Gábor Recski
Univ.Ass. / PhD
Roles
-
PostDoc Researcher
Data Science, E194-04 -
Curriculum Commission for Business Informatics
Substitute Member
Courses
2022W
- Data-oriented Programming Paradigms / 188.995 / VU
- Interdisciplinary Project in Data Science / 194.047 / PR
- Introduction to Information Retrieval / 188.977 / VU
- Natural Language Processing and Information Extraction / 194.093 / VU
- Programming in Python / 194.123 / VU
- Research Seminar for Ph.D. Students / 188.423 / SE
2023S
- Bachelor Thesis for Informatics and Business Informatics / 188.944 / PR
- Research Seminar for Ph.D. Students / 188.423 / SE
Projects
-
OPC UA Rule Editor 2.0
2022 / Siemens AG
Publications
Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once APIs for the new database have been released, everything will be up to date again.
- Explainable lexical entailment with semantic graphs / A. Kovacs, K. A. Gemes, A. Kornai, G. Recski / Natural Language Engineering, 2022 (2022), 1 - 24
- Explainable emotion detection with syntactic and semantic graphs / G. Recski / Talk: Österreichisches Treffen zu Sentimentinferenz (ÖTSI), Wien (invited); 2021-12-11
- The Gutenberg Dialogue Dataset / R. Csaky, G. Recski / in: "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume", issued by: Association for Computational Linguistics; The Association for Computational Linguistics, 2021, ISBN: 978-1-954085-02-2, 138 - 159
- DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets / J. Bogensperger, S. Schlarb, A. Hanbury, G. Recski / in: "Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)", The Association for Computational Linguistics, 2021, 137 - 157
- TUW-Inf at GermEval2021: Rule-based and Hybrid Methods for Detecting Toxic, Engaging, and Fact-Claiming Comments / K. A. Gemes, G. Recski / in: "Proceedings of the GermEval 2021 Workshop on the Identification of Toxic, Engaging, and Fact-Claiming Comments : 17th Conference on Natural Language Processing KONVENS 2021", netlibrary, 2021, 69 - 75
- Explainable Rule Extraction via Semantic Graphs / G. Recski, B. Lellmann, A. Kovacs, A. Hanbury / in: "Proceedings of the Fifth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2021)", issued by: CEUR Workshop Proceedings; CEUR-WS.org, 2021, 24 - 35
- BME-TUW at SR´20: Lexical grammar induction for surface realization / G. Recski, A. Kovacs, K. A. Gemes, J. Ács, A. Kornai / Talk: Third Workshop on Multilingual Surface Realisation (MSR´20), Barcelona, Spain; 2020-12-12; in: "Proceedings of the Third Workshop on Multilingual Surface Realisation (MSR´20)", (2020), ISBN: 978-1-952148-52-1; 21 - 29
- BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs / A. Kovacs, K. A. Gemes, A. Kornai, G. Recski / in: "Proceedings of the 14th International Workshop on Semantic Evaluation, Barcelona, Spain (Online), December 12, 2020", ACL Anthology, 2020, 135 - 141
- Machine comprehension using semantic graphs / K. A. Gemes, A. Kovacs, G. Recski / in: "Proceedings of the Automation and Applied Computer Science Workshop 2019", AACS, 2019