activity
20162022
most citedLanguage classification from bilingual word embedding graphs

4 citations · 15 across the 11 of their papers we have counts for

collaborators

14 papers

cs.CL2022

German Parliamentary Corpus (GerParCor)

Giuseppe Abrami, Mevlüt Bagci, Leon Hammerla +1

Parliamentary debates represent a large and partly unexploited treasure trove of publicly accessible texts. In the German-speaking area, there is a certain deficit of uniformly acc…

cs.CL2022★ 1 cited

I still have Time(s): Extending HeidelTime for German Texts

Andy Lücking, Manuel Stoeckel, Giuseppe Abrami +1

HeidelTime is one of the most widespread and successful tools for detecting temporal expressions in texts. Since HeidelTime's pattern matching system is based on regular expression…

cs.CL2022★ 1 cited

What do Toothbrushes do in the Kitchen? How Transformers Think our World is Structured

Alexander Henlein, Alexander Mehler

Transformer-based models are now predominant in NLP. They outperform approaches based on static models in many respects. This success has in turn prompted research that reveals a n…

cs.CV2021

Multi-Type-TD-TSR -- Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representations

Pascal Fischer, Alen Smajic, Alexander Mehler +1

As global trends are shifting towards data-driven industries, the demand for automated algorithms that can convert digital images of scanned documents into machine readable informa…

cs.CL2020★ 1 cited

Computational linguistic assessment of textbook and online learning media by means of threshold concepts in business education

Andy Lücking, Sebastian Brückner, Giuseppe Abrami +2

Threshold concepts are key terms in domain-based knowledge acquisition. They are regarded as building blocks of the conceptual development of domain knowledge within particular lea…

cs.CL2020★ 4 cited

Multiple Texts as a Limiting Factor in Online Learning: Quantifying (Dis-)similarities of Knowledge Networks across Languages

Alexander Mehler, Wahed Hemati, Pascal Welke +2

We test the hypothesis that the extent to which one obtains information on a given topic through Wikipedia depends on the language in which it is consulted. Controlling the size fa…