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20222026
most citedA Comprehensive Analysis of Acknowledgement Texts in Web of Science: a case study on four scientific domains

23 citations · 38 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Rewrite the News: Tracing Editorial Reuse Across News Agencies

Soveatin Kuntur, Nina Smirnova, Anna Wroblewska +2

This paper investigates sentence-level text reuse in multilingual journalism, analyzing where reused content occurs within articles. We present a weakly supervised method for detec…

cs.CL2026

Analysing Calls to Order in German Parliamentary Debates

Nina Smirnova, Daniel Dan, Philipp Mayr

Parliamentary debate constitutes a central arena of political power, shaping legislative outcomes and public discourse. Incivility within this arena signals political polarization…

cs.CL2025★ 1 cited

Annotating Scientific Uncertainty: A comprehensive model using linguistic patterns and comparison with existing approaches

Panggih Kusuma Ningrum, Philipp Mayr, Nina Smirnova +1

UnScientify, a system designed to detect scientific uncertainty in scholarly full text. The system utilizes a weakly supervised technique to identify verbally expressed uncertainty…

cs.CL2024★ 1 cited

Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study

Xu Tong, Nina Smirnova, Sharmila Upadhyaya +5

Objective: To explore and compare the performance of ChatGPT and other state-of-the-art LLMs on domain-specific NER tasks covering different entity types and domains in TCM against…

cs.CL2022★ 3 cited

Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents

Nina Smirnova, Philipp Mayr

Acknowledgments in scientific papers may give an insight into aspects of the scientific community, such as reward systems, collaboration patterns, and hidden research trends. The a…