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...

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

Ao, S., Rüger, S. and Siddharthan, A. (2024) CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs, 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024), Barcelona, Spain

Colucci-Gray, L., Hancock, J., Islam, R., Sharma, N., Manches, A., Bowers, L., Lakeman-Fraser, P., Mozier, S., Newman, J., Reuger, S. and Siddharthan, A. (2024) Seeing with hands and touching with eyes: recovering sensorial attention to nature in primary schools, First International Conference on Embodied Education, Danish School of Education (DPU), Tuborgvej 164, 2400 Copenhagen, Denmark

Sharma, N., Colucci-Gray, L., Lakeman-Fraser, P., Robinson, A., Newman, J., Wal, R., Rüger, S. and Siddharthan, A. (2024) Image Recognition as a 'Dialogic AI Partner' within Biodiversity Citizen Science - an empirical investigation, Citizen Science: Theory and Practice, pp. (In press)

Dodd, M., Döring, M., Valentine, C., Siddharthan, A. and Ansine, J. (2024) Updating Species Dictionaries in the Citizen Science Platform iSpotnature.org with the Help of Its User Community and ChecklistBank, Biodiversity Information Science and Standards, 8

Hancock, J., Colucci-Gray, L., Siddharthan, A., Manches, A., Sharma, N., Islam, R., Bowers, L., Reuger, S., Lakeman-Fraser, P., Newman, J., Mozier, S. and Barry, R. (2023) 'We felt the textures from nature and it gave us new ideas': Investigating sustainability education through primary school children's natural and digital haptic touch explorations, SERA Conference 2023, Queen Margaret University, Musselburgh, United Kingdom

Ao, S., Rüger, S. and Siddharthan, A. (2023) Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection, 2023 IJCAI Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning, AISafety-SafeRL, Macau, China

Ao, S., Rüger, S. and Siddharthan, A. (2023) Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration, Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, Pittsburgh, PA, USA

Ansine, J., Dodd, M., Valentine, C., Rüger, S., Siddharthan, A. and Dadswell, D. (2023) iSpot & AI: Integrating FASTCAT-Cloud and PI@ntNET-API in the Cos4Cloud framework, Computers and Learning Research Group (CALRG) Conference 2023, Online

Schiller, D., Yu, A., Alia-Klein, N., Becker, S., Cromwell, H., Dolcos, F., Eslinger, P., Frewen, P., Kemp, A., Pace-Schott, E., Raber, J., Silton, R., Stefanova, E., Williams, J., Abe, N., Aghajani, M., Albrecht, F., Alexander, R., Anders, S., Aragón, O., Arias, J., Arzy, S., Aue, T., Baez, S., Balconi, M., Ballarini, T., Bannister, S., Banta, M., Barrett, K., Belzung, C., Bensafi, M., Booij, L., Bookwala, J., Boulanger-Bertolus, J., Boutros, S., Bräscher, A., Bruno, A., Busatto, G., Bylsma, L., Caldwell-Harris, C., Chan, R., Cherbuin, N., Chiarella, J., Cipresso, P., Critchley, H., Croote, D., Demaree, H., Denson, T., Depue, B., Derntl, B., Dickson, J., Dolcos, S., Drach-Zahavy, A., Dubljević, O., Eerola, T., Ellingsen, D., Fairfield, B., Ferdenzi, C., Friedman, B., Fu, C., Gatt, J., deGelder, B., Gendolla, G., Gilam, G., Goldblatt, H., Gooding, A., Gosseries, O., Hamm, A., Hanson, J., Hendler, T., Herbert, C., Hofmann, S., Ibanez, A., Joffily, M., Jovanovic, T., Kahrilas, I., Kangas, M., Katsumi, Y., Kensinger, E., Kirby, L., Koncz, R., Koster, E., Kozlowska, K., Krach, S., Kret, M., Krippl, M., Kusi-Mensah, K., Ladouceur, C., Laureys, S., Lawrence, A., Li, C., Liddell, B., Lidhar, N., Lowry, C., Magee, K., Marin, M., Mariotti, V., Martin, L., Marusak, H., Mayer, A., Merner, A., Minnier, J., Moll, J., Morrison, R., Moore, M., Mouly, A., Mueller, S., Mühlberger, A., Murphy, N., Muscatello, M., Musser, E., Newton, T., Noll-Hussong, M., Norrholm, S., Northoff, G., Nusslock, R., Okon-Singer, H., Olino, T., Ortner, C., Owolabi, M., Padulo, C., Palermo, R., Palumbo, R., Palumbo, S., Papadelis, C., Pegna, A., Pellegrini, S., Peltonen, K., Penninx, B., Pietrini, P., Pinna, G., Lobo, R., Polnaszek, K., Polyakova, M., Rabinak, C., HeleneRichter, S., Richter, T., Riva, G., Rizzo, A., Robinson, J., Rosa, P., Sachdev, P., Sato, W., Schroeter, M., Schweizer, S., Shiban, Y., Siddharthan, A., Siedlecka, E., Smith, R., Soreq, H., Spangler, D., Stern, E., Styliadis, C., Sullivan, G., Swain, J., Urben, S., Stock, J., Kooij, M., Overveld, M., Rheenen, T., VanElzakker, M., Ventura-Bort, C., Verona, E., Volk, T., Wang, Y., Weingast, L., Weymar, M., Williams, C., Willis, M., Yamashita, P., Zahn, R., Zupan, B., Lowe, L., Gabriela, G., F, H. and Leonie, L. (2023) The Human Affectome, pp. (Early access), Elsevier

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

Lotz, N., Siddharthan, A., Priola, C. and Wallace, J. (2022) Gender equality work in a distance learning institution, Diversity Interventions 2022, Oxford

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

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

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

Sharma, N., Sam, G., Colucci-Gray, L., Siddharthan, A. and Wal, R. (2019) From Citizen Science to Citizen Action: Analysing the potential of a digital platform to create new environmental subjectivities, Journal of Science Communication, 18, pp. 1-35, SISSA Medialab

Barawi, M., Lin, C., Siddharthan, A. and Liu, Y. (2019) Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics, Frontiers of Computer Science, pp. (In Press), Springer

Kuptavanich, K., Reiter, E., Deemter, K. and Siddharthan, A. (2018) Generating Summaries of Sets of Consumer Products: Learning from Experiments, Proceedings of the 11th International Conference on Natural Language Generation, Tilburg, The Netherlands, pp. 403-407

Wibowo, A., Siddharthan, A., Masthoff, J. and Lin, C. (2018) Understanding how to Explain Package Recommendations in the Clothes Domain, Workshop: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS) at 12th ACM Conference on Recommender Systems (RecSys), Vancouver, Canada

Braun, D., Reiter, E. and Siddharthan, A. (2018) SaferDrive: An NLG-based behaviour change support system for drivers, Natural Language Engineering, pp. 1--38, Cambridge University Press

Wibowo, A., Siddharthan, A., Masthoff, J. and Lin, C. (2018) Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation, Proceedings of the 26th ACM Conference on User Modelling, Adaptation and Personalization (UMAP)

Wibowo, A., Siddharthan, A., Anderson, H., Robinson, A., Sharma, N., Bostock, H., Salisbury, A., Comont, R. and Wal., R. (2017) Bumblebee Friendly Planting Recommendations with Citizen Science Data, Workshop: Workshop on Recommender Systems for Citizens at ACM RecSys, Como, Italy

Wibowo, A., Siddharthan, A., Lin, C. and Masthoff, J. (2017) Matrix Factorization for Package Recommendations, Workshop: Workshop on Recommendation in Complex Scenarios (ComplexRec 2017) at RecSys, Como, Italy

Alhathli, M., Masthoff, J. and Siddharthan, A. (2017) Should Learning Material's Selection be Adapted to Learning Style and Personality?, 25th Conference on User Modeling, Adaptation and Personalization, pp. 275-280

Barawi, M., Lin, C. and Siddharthan, A. (2017) Automatically Labelling Sentiment-Bearing Topics with Descriptive Sentence Labels, International Conference on Applications of Natural Language to Information Systems Lecture Notes in Computer Science, eds. Frasincar F., Ittoo A., Nguyen L., M�tais E, 10260, pp. 299-312, Springer, Cham

Shulayeva, O., Siddharthan, A. and Wyner, A. (2017) Recognizing cited facts and principles in legal judgements, Artificial Intelligence and Law, 25, 1, pp. 107-126, Springer

Macdonald, I. and Siddharthan, A. (2016) Summarising News Stories for Children, 9th International Conference on Natural Language Generation, Edinburgh, pp. 1-10

Egan, C., Siddharthan, A. and Wyner, A. (2016) Summarising the points made in online political debates, Workshop: 3rd Workshop on Argument Mining, ACL, Berlin, pp. 134-143, Association for Computational Linguistics

Mandya, A., Wyner, A., Sanchez Nunez, P. and Siddharthan, A. (2016) Scrutable Feature Sets for Stance Classification, Workshop: 3rd Workshop on Argument Mining, ACL, pp. 60-69, Association for Computational Linguistics

Wal, R., Sharma, N., Mellish, C., Robinson, A. and Siddharthan, A. (2016) The role of automated feedback in training and retaining biological recorders for citizen science, Conservation Biology, 30, 3, pp. 550-561, Wiley

Alhathli, M., Masthoff, J. and Siddharthan, A. (2016) Exploring the Impact of Extroversion on the Selection of Learning Materials, 24th Conference on User Modeling, Adaptation and Personalization

Siddharthan, A., Lambin, C., Robinson, A., Sharma, N., Comont, R., O'mahony, E., Mellish, C. and Wal, a. (2016) Crowdsourcing without a crowd: Reliable online species identification using Bayesian models to minimize crowd size, ACM Trans. Intell. Syst. Technol., 7, 4

Walker, A., (2015) Answer Type Identification for Question Answering, Joint International Semantic Technology Conference, pp. 235-251, Springer

Wal, R., Zeng, C., Heptinstall, D., Ponnamperuma, K., Mellish, C., Ben, S. and Siddharthan, A. (2015) Automated data analysis to rapidly derive and communicate ecological insights from satellite-tag data: A case study of reintroduced red kites, AMBIO, 44, 4, pp. 612-623, Springer

Wal, R., Anderson, H., Robinson, A., Sharma, N., Mellish, C., Roberts, S., Darvill, B. and Siddharthan, A. (2015) Mapping species distributions: A comparison of skilled naturalist and lay citizen science recording, AMBIO, 44, 4, pp. 584-600, Springer

Mandya, A., Nomoto, T. and Siddharthan, A. (2014) Lexico-syntactic Text Simplification And Compression With Typed Dependencies, 25th International Conference on Computational Linguistics, Dublin

Angrosh, M. and Siddharthan, A. (2014) Text simplification using synchronous dependency grammars: Generalising automatically harvested rules, 8th International Natural Language Generation Conference, Philadelphia, Pennsylvania

Siddharthan, A. and Angrosh, M. (2014) Hybrid text simplification using synchronous dependency grammars with hand-written and automatically harvested rules, Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, Gothenburg, Sweden

Siddharthan, A. (2014) A survey of research on text simplification, International Journal of Applied Linguistics, 165, pp. 259-298, John Benjamins Publishing Company

Siddharthan, A., Nenkova, A. and McKeown, K. (2011) Information status distinctions and referring expressions: An empirical study of references to people in news summaries, Computational Linguistics, 37, pp. 811-842, MIT Press

Walker, A., Siddharthan, A. and Starkey, A. (2011) Investigation into Human Preference between Common and Unambiguous Lexical Substitutions, 13th European Workshop on Natural Language Generation, Nancy, France

Siddharthan, A. (2011) Text Simplification using Typed Dependencies: A Comparison of the Robustness of Different Generation Strategies, Proceedings of the 13th European Workshop on Natural Language Generation (ENLG)

Siddharthan, A. (2010) Complex lexico-syntactic reformulation of sentences using typed dependency representations, Proceedings of the 6th International Natural Language Generation Conference, Dublin, Ireland

Dorr, B., Passonneau, R., Farwell, D., Green, R., Habash, N., Helmreich, S., Hovy, E., Levin, L., Miller, K., Mitamura, T., Rambow, O. and Siddharthan, A. (2010) Interlingual annotation of parallel text corpora: a new framework for annotation and evaluation, Natural Language Engineering, 16, pp. 197-243, Cambridge University Press

Liakata, M., Teufel, S., Siddharthan, A. and Batchelor, C. (2010) Corpora for the conceptualisation and zoning of scientific papers, LREC 2010, 7th International Conference on Language Resources and Evaluation, Valletta, Malta

Siddharthan, A. and Katsos, N. (2010) Reformulating discourse connectives for non-expert readers, Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Los Angeles, California

Teufel, S., Siddharthan, A. and Batchelor, C. (2009) Towards discipline-independent argumentative zoning: evidence from chemistry and computational linguistics, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, Singapore

Siddharthan, A. and Teufel, S. (2007) Whose idea was this, and why does it matter? Attributing scientific work to citations, Human language technologies 2007: The conference of the North American chapter of the Association for Computational Linguistics; proceedings of the main conference

Teufel, S., Siddharthan, A. and Tidhar, D. (2006) Automatic Classification of Citation Function, Conference on Empirical Methods in Natural Language Processing (EMNLP 2006), Sydney

Siddharthan, A. (2006) Syntactic Simplification and Text Cohesion, Research on Language and Computation, 4, pp. 77-109, Springer Netherlands

Teufel, S., Siddharthan, A. and Tidhar, D. (2006) An annotation scheme for citation function, Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue

Siddharthan, A., Nenkova, A. and McKeown, K. (2004) Syntactic Simplification for Improving Content Selection in Multi-Document Summarization, 20th International Conference on Computational Linguistics, Geneva

Siddharthan, A. and Copestake, A. (2004) Generating Referring Expressions in Open Domains, 42nd Annual Meeting on Association for Computational Linguistics, Barcelona, Spain

Siddharthan, A. (2002) An architecture for a text simplification system, Proceedings of the Language Engineering Conference 2002 (LEC 2002)