Showing all 13 Publications linked to Advaith Siddharthan

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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...

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


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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

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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

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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., Métais E, 10260, pp. 299-312, Springer, Cham

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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

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

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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

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

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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

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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

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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

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

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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, AMBO, 44, 4, pp. 612-623, Springer

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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

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Senior Research Fellow x 2

Knowledge Media Institute (KMi)
£50,618 - £56,950 (Grade AC4)
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Permanent Position

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is one of the top research centres in the world in the area of knowledge and media technologies, and we offer a creative and flexible working environment. The style, impact and content of our work are described in detail at http://kmi.open.ac.uk/ Your goal is to strengthen KMi's international research reputation and in particular pursue a robust and innovative research agenda in one or more of these...

Research Assistant / Associate

Knowledge Media Institute (KMi)
£29.799 - £38,833
Based in Milton Keynes
Temporary contract until 30th November 2018

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant or a Research Associate to work on the project – Analytics For Everyday Learning. The AFEL Project is an innovative EU funded research project with 5 partners from the UK, Germany, Spain, and Austria. Its goal is to identify the features...

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