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ORCIDNina Smirnova 0001
Person information
- affiliation: GESIS, Cologne, Germany
Other persons with the same name
- Nina Smirnova 0002
![[0000-0001-9977-3860]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9977-3860")
— Platov South-Russian State Polytechnic University (NPI), Novocherkassk, Russia
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2020 – today
- 2025
[j3]Panggih Kusuma Ningrum, Philipp Mayr, Nina Smirnova, Iana Atanassova:
Annotating scientific uncertainty: A comprehensive model using linguistic patterns and comparison with existing approaches. J. Informetrics 19(2): 101661 (2025)- [i10]Panggih Kusuma Ningrum, Philipp Mayr, Nina Smirnova, Iana Atanassova:
Annotating Scientific Uncertainty: A comprehensive model using linguistic patterns and comparison with existing approaches. CoRR abs/2503.11376 (2025) - [i9]Nina Smirnova, Muhammad Ahsan Shahid, Philipp Mayr:
Open Political Corpora: Structuring, Searching, and Analyzing Political Text Collections with PoliCorp. CoRR abs/2509.17465 (2025) - 2024
- [j2]Nina Smirnova, Philipp Mayr:
Embedding models for supervised automatic extraction and classification of named entities in scientific acknowledgements. Scientometrics 129(11): 7261-7285 (2024) - [d1]Nina Smirnova, Jack H. Culbert, Philipp Mayr:
Indo-German Literature Dataset. Zenodo, 2024
- [i8]Tobias Holtdirk, Nina Smirnova:
Technical Report: Incorporating Blogs in Pollux. CoRR abs/2403.17618 (2024) - [i7]Aasif Ahmad Mir, Nina Smirnova, Jeyshankar Ramalingam, Philipp Mayr:
The rise of Indo-German collaborative research: 1990-2022. CoRR abs/2404.17171 (2024) - [i6]Nina Smirnova:
Automatically detecting scientific political science texts from a large general document index. CoRR abs/2406.03067 (2024) - [i5]Xu Tong, Nina Smirnova, Sharmila Upadhyaya, Ran Yu, Jack H. Culbert, Chao Sun, Wolfgang Otto, Philipp Mayr:
Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study. CoRR abs/2408.13501 (2024) - 2023
- [j1]Nina Smirnova, Philipp Mayr:
A comprehensive analysis of acknowledgement texts in Web of Science: a case study on four scientific domains. Scientometrics 128(1): 709-734 (2023) - [i4]Nina Smirnova, Philipp Mayr:
Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific Acknowledgements. CoRR abs/2307.13377 (2023) - [i3]Kristin Biesenbender, Nina Smirnova, Philipp Mayr, Isabella Peters:
The Emergence of Preprints: Comparing Publishing Behaviour in the Global South and the Global North. CoRR abs/2308.04186 (2023) - 2022
- [c1]Nina Smirnova, Philipp Mayr:
Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents (short paper). EEKE@JCDL 2022: 48-55 - [i2]Nina Smirnova, Philipp Mayr:
Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents. CoRR abs/2206.10939 (2022) - [i1]Nina Smirnova, Philipp Mayr:
A Comprehensive Analysis of Acknowledgement Texts in Web of Science: a case study on four scientific domains. CoRR abs/2210.09716 (2022)
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