Papers by Maria Berger
Making Metadata Fit for Next Generation Language Technology Platforms: The Metadata Schema of the European Language Grid (2020.lrec-1)
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Penny Labropoulou, Katerina Gkirtzou, Maria Gavriilidou, Miltos Deligiannis, Dimitris Galanis, Stelios Piperidis, Georg Rehm, Maria Berger, Valérie Mapelli, Michael Rigault, Victoria Arranz, Khalid Choukri, Gerhard Backfried, José Manuel Gómez-Pérez, Andres Garcia-Silva
| Challenge: | Metadata are a key factor in the management, sharing and usage of digital assets . the European Language Grid project aims to be the primary hub and marketplace for industry-relevant Language Technology in Europe. |
| Approach: | They propose a rich metadata schema catering for the description of Language Resources and Technologies. |
| Outcome: | The proposed schema powers the European Language Grid platform that aims to be the primary hub and marketplace for industry-relevant Language Technology in Europe. |
European Language Grid: An Overview (2020.lrec-1)
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Georg Rehm, Maria Berger, Ela Elsholz, Stefanie Hegele, Florian Kintzel, Katrin Marheinecke, Stelios Piperidis, Miltos Deligiannis, Dimitris Galanis, Katerina Gkirtzou, Penny Labropoulou, Kalina Bontcheva, David Jones, Ian Roberts, Jan Hajič, Jana Hamrlová, Lukáš Kačena, Khalid Choukri, Victoria Arranz, Andrejs Vasiļjevs, Orians Anvari, Andis Lagzdiņš, Jūlija Meļņika, Gerhard Backfried, Erinç Dikici, Miroslav Janosik, Katja Prinz, Christoph Prinz, Severin Stampler, Dorothea Thomas-Aniola, José Manuel Gómez-Pérez, Andres Garcia Silva, Christian Berrío, Ulrich Germann, Steve Renals, Ondrej Klejch
| Challenge: | European LT business is dominated by hundreds of SMEs and a few large players, with technologies that outperform the global players. |
| Approach: | European Language Grid (ELG) project addresses this by establishing the ELG as the primary platform for LT in Europe. |
| Outcome: | European Language Grid (ELG) will be primary platform for LT in Europe . it will provide access to hundreds of commercial and non-commercial LTs for all European languages, including running tools and services as well as data sets and resources. |
Applying Transfer Learning to German Metaphor Prediction (2024.lrec-main)
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| Challenge: | Existing methods for metaphor recognition are based on noun-verb pattern extraction or dictionary-informed. |
| Approach: | They propose to use an English corpus annotated for metaphor as a Gold standard for two different metaphor prediction setups. |
| Outcome: | The proposed method performs well on target-language data and achieves 90% F1 on target language data. |