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Suchetha N. KunnathMember status icon

Post-Doctoral Research Associate
Suchetha N. Kunnath Photograph

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Suchetha is a research associate at KMi, part of the Big Scientific Data and Text Analytics Group (BSDTAG) team: http://bsdtag.kmi.open.ac.uk/. She finished her PhD on "Language Models for Citation Classification." Her current research focuses on the author's affiliation extraction from scientific meta-data and classification of scholarly publications based on the UN Sustainable Development Goals.

Team: Valeriy Budko, Matteo Cancellieri, Ekaterine Chkhaidze, Petr Knoth, Viktoriia Pavlenko, David Pride, Andrew Vasilyev, Anton Zhuk

News

16 Jul 2024


04 Dec 2023


05 Sep 2022


29 Jun 2022


23 May 2022

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Publications

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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

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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

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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

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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

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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)

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Research Themes

Latest Seminar
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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