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Detecting Multiword Expression Type Helps Lexical Complexity Assessment.

, , and . LREC, page 4426-4435. European Language Resources Association, (2020)

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How Useful Are Educational Questions Generated by Large Language Models?, , , and . AIED (Posters/Late Breaking Results/...), volume 1831 of Communications in Computer and Information Science, page 536-542. Springer, (2023)Using Learner Data to Improve Error Correction in Adjective-Noun Combinations., and . BEA@NAACL-HLT, page 233-242. The Association for Computer Linguistics, (2015)Detecting Multiword Expression Type Helps Lexical Complexity Assessment., , and . LREC, page 4426-4435. European Language Resources Association, (2020)SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models., , and . CoRR, (2024)SeCoDa: Sense Complexity Dataset., , , and . LREC, page 5962-5967. European Language Resources Association, (2020)Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System., , , , , and . AIED (2), volume 12164 of Lecture Notes in Computer Science, page 140-146. Springer, (2020)BasahaCorpus: An Expanded Linguistic Resource for Readability Assessment in Central Philippine Languages., and . EMNLP, page 6302-6309. Association for Computational Linguistics, (2023)Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems., , , , , and . Int. J. Artif. Intell. Educ., 32 (2): 323-349 (2022)Capturing Anomalies in the Choice of Content Words in Compositional Distributional Semantic Space., and . RANLP, page 365-372. RANLP 2013 Organising Committee / ACL, (2013)Error detection in content word combinations.. University of Cambridge, UK, (2015)British Library, EThOS.