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Publications | Download PDF Publications | Visit External Site for Details Publications | doi

Third, A., Gkotsis, G., Kaldoudi, E., Drosatos, G., Portokalidis, N., Roumeliotis, S., Pafili, K. and Domingue, J. (2016) Integrating medical scientific knowledge with the semantically Quantified Self, International Semantic Web Conference, Kobe, Japan, pp. 566-580, Springer

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Farrell, T., Gkotsis, G. and Mikroyannidis, A. (2016) Are you thinking what I'm thinking? Representing Metacognition with Question-based Dialogue, Workshop: 6th Workshop on Awareness and Reflection in Technology Enhanced Learning (ARTEL) at 11th European Conference on Technology Enhanced Learning: Adaptive and Adaptable Learning (EC-TEL 2016), Lyon, France, eds. Kravcik, M., Mikroyannidis, A., Pammer, V., Prilla, M. and Ullmann, T., 1736, pp. 51-58, CEUR Workshop Proceedings

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Third, A., Kaldoudi, E., Gkotsis, G., Roumeliotis, S., , K. and Domingue, J. (2015) Capturing Scientific Knowledge on Medical Risk Factors, Workshop: 1st International Workshop on Capturing Scientific Knowledge at 8th International Conference on Knowledge Capture, Palisades, NY, USA

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Gkotsis, G., Liakata, M., Pedrinaci, C., Stepanyan, K. and Domingue, J. (2015) ACQUA: Automated Community-based Question Answering through the Discretisation of Shallow Linguistic Features, The Journal of Web Science, 1, 1

Publications | Visit External Site for Details Publications | doi 

Gkotsis, G., , k., Pedrinaci, C., Domingue, J. and Liakata, M. (2014) It's all in the Content: State of the art Best Answer Prediction based on Discretisation of Shallow Linguistic Features, ACM Web Science 2014 Conference, Indiana University, Bloomington, USA, pp. 9

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Mr Antonello Meloni
Department of Mathematics and Computer Science, University of Cagliari, IT

Large Language Models for Scientific Question Answering: an Extensive Analysis of the SciQA Benchmark

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Research Assistant / Associate

Knowledge Media Institute (KMi)
£32,348 to £38,474
Based in Milton Keynes
Full time temporary contract until January 2026

The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University, Milton Keynes campus. The role...

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