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20152026
most citedIdentifying Machine-Paraphrased Plagiarism

40 citations · 149 across the 13 of their papers we have counts for

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cs.CL2026

Diverse Word Choices, Same Reference: Annotating Lexically-Rich Cross-Document Coreference

Anastasia Zhukova, Felix Hamborg, Karsten Donnay +2

Cross-document coreference resolution (CDCR) identifies and links mentions of the same entities and events across related documents, enabling content analysis that aggregates infor…

cs.CL2021

TASSY -- A Text Annotation Survey System

Timo Spinde, Kanishka Sinha, Norman Meuschke +1

We present a free and open-source tool for creating web-based surveys that include text annotation tasks. Existing tools offer either text annotation or survey functionality but no…

cs.CL2021★ 4 cited

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…

cs.CL2021★ 31 cited

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…

cs.CL2021★ 40 cited

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…