All Outputs (5)

Combining heterogeneous user generated data to sense well-being (2016)
Presentation / Conference Contribution
Tsakalidis, A., Liakata, M., Damoulas, T., Jellinek, B., Guo, W., & Cristea, A. (2016). Combining heterogeneous user generated data to sense well-being. In Y. Matsumoto, & R. Prasad (Eds.), Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics : Technical Papers (3007-3018)

In this paper we address a new problem of predicting affect and well-being scales in a real-world setting of heterogeneous, longitudinal and non-synchronous textual as well as non-linguistic data that can be harvested from on-line media and mobile ph... Read More about Combining heterogeneous user generated data to sense well-being.

Real-time timeline summarisation for high-impact events in Twitter (2016)
Presentation / Conference Contribution
Zhou, Y., Kanhabua, N., & Cristea, A. (2016). Real-time timeline summarisation for high-impact events in Twitter. In G. A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, & F. van Harmelen (Eds.), Proceedings of the 22nd European Conference on Artificial Intelligence, 29 August–2 September 2016, The Hague, The Netherlands (1158-1166). https://doi.org/10.3233/978-1-61499-672-9-1158

Twitter has become a valuable source of event-related information, namely, breaking news and local event reports. Due to its capability of transmitting information in real-time, Twitter is further exploited for timeline summarisation of high-impact e... Read More about Real-time timeline summarisation for high-impact events in Twitter.

Motivational gamification strategies rooted in self-determination theory for social adaptive E-Learning (2016)
Presentation / Conference Contribution
Cristea, A., & Shi, L. (2016). Motivational gamification strategies rooted in self-determination theory for social adaptive E-Learning. In A. Micarelli, J. Stamper, & K. Panourgia (Eds.), Intelligent Tutoring Systems, 13th International Conference, ITS 2016, Zagreb, Croatia, June 7-10, 2016, Proceedings (294-300). https://doi.org/10.1007/978-3-319-39583-8_32

This study uses gamification as the carrier of understanding the motivational benefits of applying the Self-Determination Theory (SDT) in social adaptive e-learning, by proposing motivational gamification strategies rooted in SDT, as well as developi... Read More about Motivational gamification strategies rooted in self-determination theory for social adaptive E-Learning.

Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia (2016)
Presentation / Conference Contribution
Zhou, Y., Demidova, E., & Cristea, A. (2016). Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia. In Proceedings of the 2016 ACM Symposium on Applied Computing : Artificial Intelligence and Agents, Distributed Systems, and Information Systems (750-757). https://doi.org/10.1145/2851613.2851858

In this paper we take an important step towards better understanding the existence and extent of entity-centric language-specific bias in multilingual Wikipedia, and any deviation from its targeted neutral point of view. We propose a methodology usin... Read More about Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia.

Towards detection of influential sentences affecting reputation in Wikipedia (2016)
Presentation / Conference Contribution
Zhou, Y., & Cristea, A. (2016). Towards detection of influential sentences affecting reputation in Wikipedia. In W. Nejdl (Ed.), WebSci '16 : Proceedings of the 8th ACM Conference on Web Science (244-248). https://doi.org/10.1145/2908131.2908177

Wikipedia has become the most frequently viewed online encyclopaedia website. Some sentences in Wikipedia articles have direct and obvious impact on people's opinions towards the mentioned named entities. This paper defines and tackles the problem of... Read More about Towards detection of influential sentences affecting reputation in Wikipedia.