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Word Complexity is in the Eye of the Beholder., , , and . NAACL-HLT, page 4439-4449. Association for Computational Linguistics, (2021)Incorporating Multiword Expressions in Phrase Complexity Estimation., , and . READI@LREC, page 14-19. European Language Resources Association, (2020)The Impact of Preference Agreement in Reinforcement Learning from Human Feedback: A Case Study in Summarization., and . CoRR, (2023)Detecting Multiword Expression Type Helps Lexical Complexity Assessment., , and . LREC, page 4426-4435. European Language Resources Association, (2020)Social Learning: Towards Collaborative Learning with Large Language Models., , , , , and . CoRR, (2023)Comparative judgments are more consistent than binary classification for labelling word complexity., , , and . LAW@ACL, page 208-214. Association for Computational Linguistics, (2019)SeCoDa: Sense Complexity Dataset., , , and . LREC, page 5962-5967. European Language Resources Association, (2020)On the Ethical Considerations of Text Simplification.. SLPAT@ACL, page 50-57. Association for Computational Linguistics, (2022)CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble-Based Voting., and . BEA@NAACL-HLT, page 184-194. Association for Computational Linguistics, (2018)One Size Does Not Fit All: The Case for Personalised Word Complexity Models., and . NAACL-HLT (Findings), page 353-365. Association for Computational Linguistics, (2022)