Highlights
Join us in coordinating a collaborative effort to conduct a comprehensive evaluation of text classifiers through a temporal lens, in our shared task “Longitudinal Evaluation of Model Performance” shared task. [See more info at (https://clef-longeval.github.io/)]
Publications
QMUL-SDS at CheckThat! 2020: determining COVID-19 tweet check-worthiness using an enhanced CT-BERT with numeric expressions
Alkhalifa, R., Yoong, T., Kochkina, E., Zubiaga, A., & Liakata, M. (2020). QMUL-SDS at CheckThat! 2020: determining COVID-19 tweet check-worthiness using an enhanced CT-BERT with numeric expressions. CLEF(2020).
QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs
Alkhalifa, R., & Zubiaga, A. (2020). QMUL-SDS@ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs (short paper). In EVALITA.
QMUL-SDS @ DIACR-ITA: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian
Alkhalifa, R., Tsakalidis, A., Zubiaga, A., & Liakata, M. (2020). QMUL-SDS@ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian. Proceedings of the 7th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020), Online. CEUR. org.
Opinions are Made to be Changed: Temporally Adaptive Stance Classification
Rabab Alkhalifa, Elena Kochkina, and Arkaitz Zubiaga. 2021. Opinions are Made to be Changed: Temporally Adaptive Stance Classification. In Proceedings of the 2021 Workshop on Open Challenges in Online Social Networks (OASIS 21). Association for Computing Machinery, New York, NY, USA, 27–32. https://doi.org/10.1145/3472720.3483620
Capturing stance dynamics in social media: open challenges and research directions
Alkhalifa, R., Zubiaga, A. Capturing stance dynamics in social media: open challenges and research directions. Int J Digit Humanities 3, 115–135 (2022). https://doi.org/10.1007/s42803-022-00043-w
Building for tomorrow: Assessing the temporal persistence of text classifiers
Alkhalifa, R., Kochkina & Zubiaga, A. (2022). Building for tomorrow: Assessing the temporal persistence of text classifiers Information Processing & Management.
LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023
Alkhalifa, R., Bilal, I., Borkakoty, H., Camacho-Collados, J., Deveaud, R., El-Ebshihy, A., ... & Zubiaga, A. (2023, March). LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023. In Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part III (pp. 499-505). Cham: Springer Nature Switzerland.
Talks
First talk was in the 2021 Workshop on Open Challenges in Online Social Networks
Talk at https://sites.google.com/view/oasis2021/program, Online