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Measuring the Impact of Readability Features in Fake News Detection.

, , , , , , and . LREC, page 1404-1413. European Language Resources Association, (2020)

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NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese., , , , and . CoRR, (2022)Evaluating Semantic Similarity Methods to Build Semantic Predictability Norms of Reading Data., , , and . TDS, volume 12848 of Lecture Notes in Computer Science, page 35-47. Springer, (2021)Measuring the Impact of Readability Features in Fake News Detection., , , , , , and . LREC, page 1404-1413. European Language Resources Association, (2020)RastrOS Project: Natural Language Processing contributions to the development of an eye-tracking corpus with predictability norms for Brazilian Portuguese., , , and . Lang. Resour. Evaluation, 56 (4): 1333-1372 (2022)NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese., , , , and . Lang. Resour. Evaluation, 58 (1): 73-110 (March 2024)Using Eye-tracking Data to Predict the Readability of Brazilian Portuguese Sentences in Single-task, Multi-task and Sequential Transfer Learning Approaches., , , , and . COLING, page 5821-5831. International Committee on Computational Linguistics, (2020)Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach., , , , , and . Lang. Resour. Evaluation, 56 (2): 621-650 (2022)A Nontrivial Sentence Corpus for the Task of Sentence Readability Assessment in Portuguese., , and . COLING, page 401-413. Association for Computational Linguistics, (2018)