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Probing for idiomaticity in vector space models.

, , , , and . EACL, page 3551-3564. Association for Computational Linguistics, (2021)

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Classifying COVID-19 vaccine narratives., , , and . CoRR, (2022)Finding Already Debunked Narratives via Multistage Retrieval: Enabling Cross-Lingual, Cross-Dataset and Zero-Shot Learning., , , and . CoRR, (2023)A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation., , , , , , and . CoRR, (2023)The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification., , and . Comput. Linguistics, 47 (4): 861-889 (2021)Measuring the Impact of Readability Features in Fake News Detection., , , , , , and . LREC, page 1404-1413. European Language Resources Association, (2020)Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic., , , , , and . RANLP, page 556-567. INCOMA Ltd., Shoumen, Bulgaria, (2023)Data-Driven Sentence Simplification: Survey and Benchmark., , and . Comput. Linguistics, 46 (1): 135-187 (2020)Quality Estimation for Machine Translation, , and . Synthesis Lectures on Human Language Technologies Morgan & Claypool Publishers, (2018)Cross-lingual Rumour Stance Classification: a First Study with BERT and Machine Translation., and . TTO, page 50-59. Hacks Hackers, (2021)Document-level translation quality estimation: exploring discourse and pseudo-references., and . EAMT, page 101-108. European Association for Machine Translation, (2014)