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Advaith SiddharthanMember status icon

Professor of Computer Science and Society
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My research specialisation is in Computational Linguistics and Data Science, with a focus on communicating complex data and making information and data (particularly telemetric data) accessible through text analytics, summarisation, reformulation and natural language generation. I have a particular interest in Citizen Science, and in particular, technologies that break down the divide between professional scientists and lay public and facilitate the meaningful engagement of the public with science.

Keys: Natural Language Generation, Citizen Science, Data Analytics, Language Technologies, Artificial Intelligence

Team: Phillimon Mumba, Stefan Rueger, Nirwan Sharma, Kai Waddington

News

04 Jul 2022


08 Jun 2022


25 Jan 2022


01 Oct 2021


24 Nov 2020

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Publications

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Sharma, N., Siddharthan, A., Colucci-Gray, L. and Wal, R. (2022) Consensus building in on-line citizen science, 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW 2022), Online

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Peng, X., Zheng, Y., Lin, C. and Siddharthan, A. (2021) Summarising Historical Text in Modern Languages, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics

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Anderson, H., Robinson, A., Siddharthan, A., Sharma, N., Bostock, H., Salisbury, A., Roberts, S. and Wal, R. (2020) Citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators, Scientific Reports, 10, 20483, Nature Publishing Group UK

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Siddharthan, A., Ponnamperuma, K., Mellish, C., Zeng, C., Heptinstall, D., , A., Benn, S. and Wal, R. (2019) Blogging Birds: Telling informative stories about the lives of birds from telemetric data, Communications of the ACM, 62, 3, pp. 68-77, ACM

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Sharma, N., Colucci-Gray, L., Siddharthan, A., Comont, R. and Wal, R. (2019) Designing online species identification tools for biological recording: the impact on data quality and citizen science learning, PeerJ, 6:e5965, pp. 24 pages

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Research Themes

Latest Seminar
Dr. Siān Lindley
Microsoft Research Cambridge

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

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