122 citations
- Technical University of MunichDE28 papers
- Ludwig-Maximilians-Universität MünchenDE20 papers
- FortissDE7 papers
- Blekinge Institute of TechnologySE6 papers
- Goethe University FrankfurtDE6 papers
- Technische Universität DresdenDE6 papers
- Bielefeld UniversityDE5 papers
- LMU KlinikumDE5 papers
- Graz University of TechnologyAT4 papers
- Iscte – Instituto Universitário de LisboaPT4 papers
- OTH RegensburgDE4 papers
- Universität der Bundeswehr MünchenDE4 papers
Showing 2021 · cs.CLShow all
3 papers · 2 filters
cs.CL2021★ 10 cited
Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation
Usama Yaseen, Stefan Langer
The state of art natural language processing systems relies on sizable training datasets to achieve high performance. Lack of such datasets in the specialized low resource domains…
cs.CL2021★ 2 cited
Linguistically Informed Masking for Representation Learning in the Patent Domain
Sophia Althammer, Mark Buckley, Sebastian Hofstätter +1
Domain-specific contextualized language models have demonstrated substantial effectiveness gains for domain-specific downstream tasks, like similarity matching, entity recognition…
cs.CL2021★ 2 cited
Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data
Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen +2
Interleaved texts, where posts belonging to different threads occur in a sequence, commonly occur in online chat posts, so that it can be time-consuming to quickly obtain an overvi…