activity
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

collaborators

11 papers

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.DL2025

Open Political Corpora: Structuring, Searching, and Analyzing Political Text Collections with PoliCorp

Nina Smirnova, Muhammad Ahsan Shahid, Philipp Mayr

In this work, we present PoliCorp (https://demo-pollux.gesis.org/), a web portal designed to facilitate the search and analysis of political text corpora. PoliCorp provides researc…

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.DL2024

Automatically detecting scientific political science texts from a large general document index

Nina Smirnova

This technical report outlines the filtering approach applied to the collection of the Bielefeld Academic Search Engine (BASE) data to extract articles from the political science d…

cs.DL2024

The rise of Indo-German collaborative research: 1990-2022

Aasif Ahmad Mir, Nina Smirnova, Jeyshankar Ramalingam +1

The study aims to highlight the growth and development of Indo-German collaborative research over the past three decades. Moreover, this study encompasses an in-depth examination o…

cs.DL2023★ 10 cited

The Emergence of Preprints: Comparing Publishing Behaviour in the Global South and the Global North

Kristin Biesenbender, Nina Smirnova, Philipp Mayr +1

Purpose: The recent proliferation of preprints could be a way for researchers worldwide to increase the availability and visibility of their research findings. Against the backgrou…

cs.DL2023

Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific Acknowledgements

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…

cs.DL2022★ 23 cited

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

Nina Smirnova, Philipp Mayr

Analysis of acknowledgments is particularly interesting as acknowledgments may give information not only about funding, but they are also able to reveal hidden contributions to aut…

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…