40 citations · 194 across the 46 of their papers we have counts for
4 papers · 2 filters
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
Jan Philip Wahle, Nischal Ashok, Terry Ruas +3
A drastic rise in potentially life-threatening misinformation has been a by-product of the COVID-19 pandemic. Computational support to identify false information within the massive…
Incorporating Word Sense Disambiguation in Neural Language Models
Jan Philip Wahle, Terry Ruas, Norman Meuschke +1
We present two supervised (pre-)training methods to incorporate gloss definitions from lexical resources into neural language models (LMs). The training improves our models' perfor…
Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection
Jan Philip Wahle, Terry Ruas, Norman Meuschke +1
The rise of language models such as BERT allows for high-quality text paraphrasing. This is a problem to academic integrity, as it is difficult to differentiate between original an…
Identifying Machine-Paraphrased Plagiarism
Jan Philip Wahle, Terry Ruas, Tomáš Foltýnek +2
Employing paraphrasing tools to conceal plagiarized text is a severe threat to academic integrity. To enable the detection of machine-paraphrased text, we evaluate the effectivenes…