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Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated.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 the migration is complete, everything will be up to date again.

• Offensive Text Detection Across Languages and Datasets Using Rule-based and Hybrid Methods / Gemes, K. A., Kovacs, A., & Recski, G. (2022, October 21). Offensive Text Detection Across Languages and Datasets Using Rule-based and Hybrid Methods [Poster Presentation]. Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI), Atlanta, US-GA, United States of America (the). https://doi.org/10.34726/3742
• POTATO: exPlainable infOrmation exTrAcTion framewOrk / Kovacs, A., Gémes, K., Iklódi, E., & Recski, G. (2022). POTATO: exPlainable infOrmation exTrAcTion framewOrk. In CIKM ’22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp. 4897–4901). Association for Computing Machinery (ACM). https://doi.org/10.1145/3511808.3557196 / Project: BRISE-Vienna
• Explainable lexical entailment with semantic graphs / Kovacs, A., Gemes, K., Kornai, A., & Recski, G. (2022). Explainable lexical entailment with semantic graphs. Natural Language Engineering, 1–24. https://doi.org/10.1017/s1351324922000092
• TUW-Inf at GermEval2021: Rule-based and Hybrid Methods for Detecting Toxic, Engaging, and Fact-Claiming Comments / Gemes, K. A., & Recski, G. (2021). TUW-Inf at GermEval2021: Rule-based and Hybrid Methods for Detecting Toxic, Engaging, and Fact-Claiming Comments. 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 (pp. 69–75). netlibrary. https://doi.org/10.48415/2021/fhw5-x128
• Explainable lexical entailment with semantic graphs / Kovacs, A., Gemes, K., Kornai, A., & Recski, G. (2020). Explainable lexical entailment with semantic graphs. In Natural Language Engineering (pp. 1–24). ACL Anthology. https://doi.org/10.1017/s1351324922000092
• BME-TUW at SR'20: Lexical grammar induction for surface realization / Recski, G., Kovacs, A., Gemes, K. A., Ács, J., & Kornai, A. (2020). BME-TUW at SR’20: Lexical grammar induction for surface realization. In Proceedings of the Third Workshop on Multilingual Surface Realisation (MSR´20) (pp. 21–29). http://hdl.handle.net/20.500.12708/55594
• Machine comprehension using semantic graphs / Gemes, K. A., Kovacs, A., & Recski, G. (2019). Machine comprehension using semantic graphs. In Proceedings of the Automation and Applied Computer Science Workshop 2019. AACS. http://hdl.handle.net/20.500.12708/58793