Assoz. Prof. Mag. Dr. Dagmar Gromann, BSc
Consultation hours: During exam weeks and in the summer break please contact me per e-mail
Attention: the office hour temporarily takes place in room 2.15 on the second floor instead of room 2.13
Winter term 2023
340060 SE Master Colloquium
340202 UE Academic Writing
Summer term 2023
340081 VO Technical communication and terminology
340279 SE Master Colloquium
Winter term 2022
340060 SE Master Colloquium
Lardelli M, Gromann D. Translating non-binary coming-out reports: Gender-fair language strategies and use in news articles. Journal of Specialised Translation. 2023 Jul;(40):213-240.
Gromann D, Wachowiak L, Lang C, Heinisch B. Extracting Terminological Concept Systems from Natural Language Text. In Rehm G, editor, European Language Grid: A language technology platform for multilingual Europe. Cham: Springer. 2023. p. 289–294. (Cognitive Technologies). doi: https://doi.org/10.1007/978-3-031-17258-8_18
Lardelli M, Gromann D. Gender-Fair (Machine) Translation. 2023. Paper presented at New Trends in Translation & Technology, Rhodes, Greece.
Hegele S, Heinisch B, Popp A, Marheinecke K, Rios A, Gromann D et al. Language Report German. In Cognitive Technologies. Springer Science and Business Media Deutschland GmbH. 2023. p. 147-150. (Cognitive Technologies, Vol. Part F280). doi: 10.1007/978-3-031-28819-7_18
De Giorgis S, Gangemi A, Gromann D. ImageSchemaNet: A framester graph for embodied commonsense knowledge. Semantic Web. 2022 Nov 3;1-25. Epub 2022 Nov 3. doi: 10.3233/SW-223084
Wachowiak L, Gromann D. Systematic Analysis of Image Schemas in Natural Language through Explainable Multilingual Neural Language Processing. In Proceedings of the 29th International Conference on Computational Linguistics. Gyeongju, Republic of Korea: International Committee on Computational Linguistics. 2022. p. 5571-5581
Burtscher S, Spiel K, Klausner LD, Lardelli M, Gromann D. "Es geht um Respekt, nicht um Technologie": Erkenntnisse aus einem Interessensgruppen-übergreifenden Workshop zu genderfairer Sprache und Sprachtechnologie. 2022. Paper presented at Mensch und Computer (MuC), Germany.
Heinisch B, Gromann D. AI for a Multilingual Europe: Why Language Data Matters. 3. ed. European Language Resource Coordination, 2022. 179 p.
Rosner M, Ahmadi S, Apostol E-S, Bosque-Gil J, Chiarcos C, Dojchinovski M et al. Cross-Lingual Link Discovery for Under-Resourced Languages. In Calzolari N, Bechet F, Blache P, Choukri K, Cieri C, Declerck T, Goggi S, Isahara H, Maegaard B, Mazo H, Odijk H, Piperidis S, editors, LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION. EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA. 2022. p. 181-192
Wachowiak L, Gromann D, Xu C. Drum Up SUPPORT: Systematic Analysis of Image-Schematic Conceptual Metaphors. In FLP 2022 - 3rd Workshop on Figurative Language Processing, Proceedings of the Workshop. Association for Computational Linguistics (ACL). 2022. p. 44-53
Giorgis SD, Gangemi A, Gromann D. Introducing ISAAC: The Image Schema Abstraction And Cognition modular ontology. In Proceedings of the Joint Ontology Workshops 2022. Vol. 3249. 2022. (CEUR Workshop Proceedings).
Makni B, Ebrahimi M, Gromann D, Eberhart A. Neuro-Symbolic Semantic Reasoning. In Hitzler P, Sarker MK, editors, Neuro-Symbolic Artificial Intelligence: The State of the Art. Vol. 342. IOS Press BV. 2022. p. 253-279. (Frontiers in Artificial Intelligence and Applications, Vol. 342). doi: 10.3233/FAIA210358
De Giorgis S, Gangemi A, Gromann D. The Racing Mind and the Path of Love: automatic extraction of image schematic triggers in knowledge graphs generated from natural language. In ISD6 2022 The Sixth Image Schema Day 2022. 2022. (CEUR Workshop Proceedings, Vol. 3140).
Wachowiak L, Lang C, Heinisch B, Gromann D. Towards learning terminological concept systems from multilingual natural language text. In Gromann D, Serasset G, Declerck T, McCrae JP, Gracia J, Bosque-Gil J, Bobillo F, Heinisch B, editors, 3rd Conference on Language, Data and Knowledge (LDK 2021). Dagstuhl: Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. 2021. p. 1-18. 22. (OpenAccess Series in Informatics, Vol. 93). doi: 10.4230/OASICS.LDK.2021.22
Lang C, Wachowiak L, Heinisch B, Gromann D. Transforming Term Extraction: Transformer-Based Approaches to Multilingual Term Extraction Across Domains. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics (ACL). 2021. p. 3607-3620 doi: 10.18653/v1/2021.findings-acl.316
Yin X, Gromann D, Rudolph S. Neural machine translating from natural language to SPARQL. Future Generation Computer Systems. 2021 Apr;117:510-519. doi: 10.1016/j.future.2020.12.013
Yin X, Gromann D, Rudolph S. Neural Machine Translating from Natural Language to SPARQL. Future Generation Computer Systems: the international journal of grid computing. 2021 Apr;117:510-519. doi: https://doi.org/10.1016/j.future.2020.12.013
Gromann D, Schnell E, Milohanovic M, Funda F. ELRC Workshop Report for Austria (2021). 2021.
Gromann D, Wachowiak L, Lang C, Heinisch B. Multilingual Extraction of Terminological Concept Systems. 2021. Paper presented at Workshop on Deep Learning and Neural Approaches for Linguistic Data, North Macedonia.
Xu C, Dietz Saldanha E-A, Gromann D, Zhou B. A Cognitively Motivated Approach to Spatial Information Extraction. In Proceedings of the Third International Workshop on Spatial Language Understanding. Online: Association for Computational Linguistics (ACL). 2020. p. 18-28 doi: 10.18653/v1/2020.splu-1.3
Extracting Terminological Concept Systems from Natural Language Text (Text2TCS)
15/07/20 → 15/09/21
Project: Research funding
Department for Translation Studies
Gymnasiumstraße 50
1190 Wien
Room: Z2.13
T: +43-1-4277-58013