Suchetha is a Jisc funded PhD student at KMi, part of the Big Scientific Data and Text Analytics Group (BSDTAG) team: http://bsdtag.kmi.open.ac.uk/. Her research is focussed on the classification of citations based on their functions for impact assessment.

Team: Lucas Anastasiou, Matteo Cancellieri, Petr Knoth, Samuel Pearce, Nancy Pontika, David Pride

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NISO vision interview with COREs Petr Knoth on the role of text mining in scholarly communication

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N. Kunnath, S., Pride, D. and Knoth, P. (2023) Prompting Strategies for Citation Classification, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM '23), Birmingham, United Kingdom

N. Kunnath, S., Pride, D. and Knoth, P. (2022) Dynamic Context Extraction for Citation Classification, The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, Virtual

N. Kunnath, S., Stauber, V., Wu, R., Pride, D., Botev, V. and Knoth, P. (2022) ACT2: A multi-disciplinary semi-structured dataset for importance and purpose classification of citations, Proceedings of the 13th Language Resources and Evaluation Conference, Marseille

N. Kunnath, S., Pride, D., Herrmannova, D. and Knoth, P. (2021) Overview of the 2021 SDP 3C Citation Context Classification Shared Task, Second Workshop on Scholarly Document Processing (SDP), Mexico City, Mexico

N. Kunnath, S., Herrmannova, D., Pride, D. and Knoth, P. (2021) A Meta-analysis of Semantic Classification of Citations, Quantitative Science Studies, pp. (Early access)