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QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs (short paper)., and . EVALITA, volume 2765 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023., , , , , , , , , and 9 other author(s). ECIR (3), volume 13982 of Lecture Notes in Computer Science, page 499-505. Springer, (2023)QMUL-SDS @ DIACR-ITA Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian., , , and . CoRR, (2020)Opinions are Made to be Changed: Temporally Adaptive Stance Classification., , and . OASIS@HT, page 27-32. ACM, (2021)Building for Tomorrow: Assessing the Temporal Persistence of Text Classifiers., , and . CoRR, (2022)Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions., and . CoRR, (2021)QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs., and . CoRR, (2020)Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance., , , , , , , , , and 9 other author(s). CLEF, volume 14163 of Lecture Notes in Computer Science, page 440-458. Springer, (2023)LongEval: Longitudinal Evaluation of Model Performance at CLEF 2024., , , , , , , , , and 8 other author(s). ECIR (6), volume 14613 of Lecture Notes in Computer Science, page 60-66. Springer, (2024)Building for tomorrow: Assessing the temporal persistence of text classifiers., , and . Inf. Process. Manag., 60 (2): 103200 (2023)