2022W

• Natural Language Processing and Information Extraction / 194.093 / VU
• Programming in Python / 194.123 / VU

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated.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
• 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
• 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