Ass.-Prof. Mag. Dr. Dagmar Gromann, BSc
Consultation hours: Wednesday 14:00 - 15:00 during the semester except during exam weeks (no registration required; room 2.13 next to SR9) or contact me per e-mail for alternative appointments
Summer term 2023
340081 VO Technical communication and terminology
340279 SE Master Colloquium
Winter term 2022
340060 SE Master Colloquium
Summer term 2022
340081 VO Technical communication and terminology
340279 SE Master Colloquium
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). https://doi.org/10.1007/978-3-031-17258-8_18
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.
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). https://doi.org/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). https://doi.org/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 https://doi.org/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. 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 https://doi.org/10.18653/v1/2020.splu-1.3
Gromann D (Interviewee), Dlociok J (Editorial Journalist). Interview with Dagmar Gromann: Why is terminology your passion? 2020.
Gromann D. Neural language models for the multilingual, transcultural, and multimodal Semantic Web. Semantic Web. 2020 Jan 1;11(1):29-39. https://doi.org/10.3233/SW-190373
Wachowiak L, Lang C, Heinisch B, Gromann D. CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification. In Proceedings of the Workshop on Cognitive Aspects of the Lexicon. Association for Computational Linguistics (ACL). 2020. p. 59–64. 2020.cogalex-1.7
Gromann D. OntoLex-Lemon as a Possible Bridge between WordNets and Full Lexical Descriptions. In Proceedings of the 10th Global WordNet Conference. 2020
Rehm G, Marheinecke K, Hegele S, Piperidis S, Bontcheva K, Hajič J et al. The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe. 2020. Paper presented at 12th International Conference on Language Resources and Evaluation, LREC 2020, Marseille, France.
Yin X, Gromann D, Rudolph S. Neural Machine Translating from Natural Language to SPARQL. CoRR. 2019 Jun 21.
Gromann D, Declerck T. Towards the detection and formal representation of semantic shifts in inflectional morphology. In Eskevich M, de Melo G, Fath C, McCrae JP, Buitelaar P, Chiarcos C, Klimek B, Dojchinovski M, editors, 2nd Conference on Language, Data and Knowledge, LDK 2019. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. 2019. 21. (OpenAccess Series in Informatics (OASIcs), Vol. 70). https://doi.org/10.4230/OASIcs.LDK.2019.21
Gromann D, Declerck T. Comparing pretrained multilingual word embeddings on an ontology alignment task. In Isahara H, Maegaard B, Piperidis S, Cieri C, Declerck T, Hasida K, Mazo H, Choukri K, Goggi S, Mariani J, Moreno A, Calzolari N, Odijk J, Tokunaga T, editors, LREC 2018 - 11th International Conference on Language Resources and Evaluation. European Language Resources Association (ELRA). 2019. p. 230-236
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