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
23 Jun 2017
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., Métais 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