Member
Advaith Siddharthan
Professor of Computer Science and Society
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
Publications
Ao, S., Rueger, S. and Siddharthan, A. (2022) Confidence-Aware Calibration and Scoring Functions for Curriculum Learning, 2022 15th International Conference on Machine Vision., Rome, Italy
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
Fraser, P., Colluci-Gray, L., Sforzi, A., Robinson, A., Newman, J., Staples-Rolf, R., Sharma, N., Rueger, S. and Siddharthan, A. (2022) X-Polli:Nation: Contributing towards sustainable development goals through school-based pollinator citizen science, Citizen Science: Theory and Practice, pp. (in press)
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
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