EASIER System. Evaluating a Spanish Lexical Simplification Proposal with People with Cognitive Impairments

References

• Alarcon, R., Moreno, L., Martínez, P. (2020). Word-sense disambiguation system for text readability [Paper presentation]. 9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion (pp. 147–152).
   Google Scholar
• Alarcon, R., Moreno, L., & Martínez, P. (2021a). Lexical simplification system to improve web accessibility. IEEE Access, 9, 58755–58767. https://doi.org/10.1109/ACCESS.2021.3072697
   Web of Science ®Google Scholar
• Alarcon, R., Moreno, L., & Martínez, P. (2021b). Exploration of Spanish word embeddings for lexical simplification (Vol. 2944). http://ceur-ws.org/Vol-2944/paper2.pdf
   Google Scholar
• Alarcon, R., Moreno Lopez, L., Segura-Bedmar, I., & Martínez Fernández, P. (2019). Lexical simplification approach using easy-to-read resources. https://core.ac.uk/reader/237118500
   Google Scholar
• Alboukadel, K., & Fabian, M. (2019). Factoextra: Extract and visualize the results of multivariate data analyses. https://cran.r-project.org/web/packages/factoextra/readme/README.html
   Google Scholar
• Alfano, M., Lenzitti, B., Lo Bosco, G., Muriana, C., Piazza, T., & Vizzini, G. (2020). Design, development and validation of a system for automatic help to medical text understanding. International Journal of Medical Informatics, 138, 104109. https://doi.org/10.1016/j.ijmedinf.2020.104109
   PubMed Web of Science ®Google Scholar
• Alonzo, O., Seita, M., Glasser, A., & Huenerfauth, M. (2020). Automatic text simplification tools for deaf and hard of hearing adults: Benefits of lexical simplification and providing users with autonomy [Paper presentation]. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–13). https://doi.org/10.1145/3313831.3376563
   Google Scholar
• Al-Thanyyan, S. S., & Azmi, A. M. (2022). Automated text simplification: A survey. ACM Computing Surveys, 54(2), 1–36. https://doi.org/10.1145/3442695
   Web of Science ®Google Scholar
• Azab, M., Hokamp, C., Mihalcea, R. (2015). Using word semantics to assist English as a second language learners [Paper presentation]. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations (pp. 116–120).
   Google Scholar
• Baeza-Yates, R., Rello, L., & Dembowski, J. (2015). CASSA: A context-aware synonym simplification algorithm [Paper presentation]. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 1380–1385). Association for Computational Linguistics. https://doi.org/10.3115/v1/N15-1156
   Google Scholar
• Barbu, E., Martín-Valdivia, M. T., Martínez-Cámara, E., & Urena-López, L. A. (2015). Language technologies applied to document simplification for helping autistic people. Expert Systems with Applications, 42(12), 5076–5086. https://doi.org/10.1016/j.eswa.2015.02.044
   Web of Science ®Google Scholar
• Burns, A., & Zaudig, M. (2002). Mild cognitive impairment in older people. The Lancet, 360(9349), 1963–1965. https://doi.org/10.1016/S0140-6736(02)11920-9
   PubMed Web of Science ®Google Scholar
• Castells, P., & Macías, J. A. (2002). Un sistema de presentación dinámica en entornos web para representaciones personalizadas del conocimiento. Inteligencia Artificial, 6(16), 25–34. https://doi.org/10.4114/ia.v6i16.738
   Google Scholar
• Freyhoff, G., Hess, G., Kerr, L., Tronbacke, B., & Van Der Veken, K. (1998). Make it simple. https://ecommons.cornell.edu/handle/1813/76527
   Google Scholar
• Glavaš, G., & Štajner, S. (2015). Simplifying lexical simplification: Do we need simplified corpora? [Paper presentation]. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) (pp. 63–68). Association for Computational Linguistics. https://doi.org/10.3115/v1/P15-2011
   Google Scholar
• ISO/IECISO/IEC. (2022). DIS 23859-1 information technology – User interfaces – Part 1: Guidance on making written text easy to read and easy to understand. https://www.iso.org/standard/77178.html
   Google Scholar
• Kaufman, L., & Rousseeuw, P. J. (Eds.) (2005). Finding groups in data. Wiley.
   Google Scholar
• León, J., Martínez-Huertas, J., Jastrzebska, O., & León-López, A. (2019). Informe nacional del proyecto sobre la competencia lectora de personas adultas con Discapacidad Intelectual y del Desarrollo (DID). Plena inclusión.
   Google Scholar
• Macías, J. A. (2021). Enhancing card sorting dendrograms through the holistic analysis of distance methods and linkage criteria. Journal of Usability Studies, 16(2), 73–90.
   Web of Science ®Google Scholar
• Macías, J. A., & Castells, P. (2001). Interactive design of adaptive courses. In Computers and education–towards an interconnected society (pp. 235–242). Springer.
   Google Scholar
• Macías, J. A., & Culén, A. L. (2021). Enhancing decision-making in user-centered web development: A methodology for card-sorting analysis. World Wide Web, 24(6), 2099–2137. https://doi.org/10.1007/s11280-021-00950-y
   Google Scholar
• Macías, J. A., Granollers, A., & Latorre, P. (Eds.). (2009). New trends on human-computer interaction: Research, development, new tools and methods. Springer.
   Google Scholar
• Maddela, M., & Xu, W. (2018). A word-complexity lexicon and a neural readability ranking model for lexical simplification [Paper presentation]. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, (pp. 3749–3760). Association for Computational Linguistics. https://doi.org/10.18653/v1/D18-1410
   Google Scholar
• Martín, M., & Macías, J. A. (2022). A supporting tool for enhancing user’s mental model elicitation and decision-making in user experience research. International Journal of Human–Computer Interaction, 1–20. https://doi.org/10.1080/10447318.2022.2041885
   Web of Science ®Google Scholar
• Moreno, L., Alarcon, R., & Martínez, P. (2020). Easier system. Language resources for cognitive accessibility [Paper presentation]. The 22nd International ACM SIGACCESS Conference on Computers and Accessibility (pp. 1–3). https://doi.org/10.1145/3373625.3418006
   Google Scholar
• Moreno, L., Alarcon, R., & Martínez, P. (2021). Designing and evaluating a user interface for people with cognitive disabilities [Paper presentation]. Proceedings of the XXI International Conference on Human Computer Interaction. Association for Computing Machinery. https://doi.org/10.1145/3471391.3471400
   Google Scholar
• Moreno, L., Alarcon, R., Segura-Bedmar, I., & Martínez, P. (2019). Lexical simplification approach to support the accessibility guidelines [Paper presentation]. Proceedings of the XX International Conference on Human Computer Interaction (pp. 1–4). https://doi.org/10.1145/3335595.3335651
   Google Scholar
• Moreno, L., Martínez, P., & Alarcon, R. (2022). Designing user interfaces for content simplification aimed at people with cognitive impairments [Paper presentation]. Proceedings of XXII International Conference on Human Computer Interaction. Universal Access in the Information Society (UAIS).
   Google Scholar
• Navigli, R., Ponzetto, S. P. (2010). Babelnet: Building a very large multilingual semantic network [Paper presentation]. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (pp. 216–225).
   Google Scholar
• Nunes, B. P., Kawase, R., Siehndel, P., Casanova, M. A., Dietze, S. (2013). As simple as it gets – A sentence simplifier for different learning levels and contexts [Paper presentation]. 2013 IEEE 13th International Conference on Advanced Learning Technologies (pp. 128–132).
   Google Scholar
• Nunez-Gomez, L., Segura-Bedmar, I., & Martinez, P. (2016). Easylecto: A lexical simplification system for adverse drug effects in Spanish patient information leaflets. Procesamiento Del Lenguaje Natural, 57, 177–180. http://hdl.handle.net/10045/57771
   Google Scholar
• Paetzold, G., & Specia, L. (2016a). Benchmarking lexical simplification systems [Paper presentation]. Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16) (pp. 3074–3080). European Language Resources Association (ELRA). https://aclanthology.org/L16-1491
   Google Scholar
• Paetzold, G., & Specia, L. (2016b). Semeval 2016 task 11: Complex word identification [Paper presentation]. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) (pp. 560–569). https://doi.org/10.18653/v1/S16-1085
   Google Scholar
• Paetzold, G., & Specia, L. (2016c). Unsupervised lexical simplification for non-native speakers [Paper presentation]. Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 30). https://doi.org/10.1609/aaai.v30i1.9885
   Google Scholar
• Paetzold, G. H., & Specia, L. (2017). A survey on lexical simplification. Journal of Artificial Intelligence Research, 60, 549–593. https://doi.org/10.1613/jair.5526
   Web of Science ®Google Scholar
• Pavlick, E., & Callison-Burch, C. (2016). Simple ppdb: A paraphrase database for simplification [Paper presentation]. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Vol. 2: Short Papers) (pp. 143–148). https://doi.org/10.18653/v1/P16-2024
   Google Scholar
• Plainlanguage-gov. (2017a). English-free guides (co.uk). http://www.plainenglish.co.uk/free-guides.html
   Google Scholar
• Plainlanguage-gov. (2017b). Language Action and Information Network (PLAIN). https://www.plainlanguage.gov/about/
   Google Scholar
• Qiang, J., Li, Y., Zhu, Y., Yuan, Y., Shi, Y., & Wu, X. (2021). Lsbert: Lexical simplification based on bert. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29, 3064–3076. https://doi.org/10.1109/TASLP.2021.3111589
   Web of Science ®Google Scholar
• Qualls, C. D., Harris, J. L., & Rogers, W. (2001). Cognitive-linguistic aging: Considerations for home health care environments. In Human factors interventions for the health care of older adults. (pp. 60–80). CRC Press.
   Google Scholar
• Rello, L., Baeza-Yates, R., Dempere-Marco, L., & Saggion, H. (2013). Frequent words improve readability and short words improve understandability for people with dyslexia [Paper presentation]. IFIP Conference on Human-Computer Interaction (pp. 203–219).
   Google Scholar
• Rello, L., Carlini, R., Baeza-Yates, R., & Bigham, J. P. (2015). A plug-in to aid online reading in Spanish [Paper presentation]. Proceedings of the 12th International Web for All Conference (pp. 1–4). https://doi.org/10.1145/2745555.2746661
   Google Scholar
• Saggion, H. (2017). Automatic text simplification. Synthesis Lectures on Human Language Technologies, 10(1), 1–137. https://doi.org/10.2200/S00700ED1V01Y201602HLT032
   Google Scholar
• Saggion, H., Štajner, S., Bott, S., Mille, S., Rello, L., & Drndarevic, B. (2015). Making it simplext: Implementation and evaluation of a text simplification system for Spanish. ACM Transactions on Accessible Computing, 6(4), 1–36. https://doi.org/10.1145/2738046
   Google Scholar
• Sauvan, L., Stolowy, N., Aguilar, C., François, T., Gala, N., Matonti, F., Castet, E., & Calabrèse, A. (2020). Text simplification to help individuals with low vision read more fluently [Paper presentation]. LREC 2020-Language Resources and Evaluation Conference (pp. 11–16).
   Google Scholar
• Sen, Y., & Fuping, Y. (2021). Chinese automatic text simplification based on unsupervised learning [Paper presentation]. 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) (Vol. 5, pp. 1666–1672). https://doi.org/10.1109/IAEAC50856.2021.9390937
   Google Scholar
• Shardlow, M. (2014). A survey of automated text simplification. International Journal of Advanced Computer Science and Applications, 4(1), 58–70. https://doi.org/10.14569/SpecialIssue.2014.040109
   Google Scholar
• Siddharthan, A. (2006). Syntactic simplification and text cohesion. Research on Language and Computation, 4(1), 77–109. https://doi.org/10.1007/s11168-006-9011-1
   Google Scholar
• Small, J., Schallau, P., Brown, K., & Appleyard, R. (2005). Web accessibility for people with cognitive disabilities [Paper presentation]. CHI’05 Extended Abstracts on Human Factors in Computing Systems (pp. 1793–1796). https://doi.org/10.1145/1056808.1057024
   Google Scholar
• Smith, K., Hallam, G., & Ghosh, S. (2012). Guidelines for professional library/information educational programs-2012. https://repository.ifla.org/handle/123456789/772
   Google Scholar
• Sánchez, E., & Macías, J. A. (2019). A set of prescribed activities for enhancing requirements engineering in the development of usable e-government applications. Requirements Engineering, 24(2), 181–203. https://doi.org/10.1007/s00766-017-0282-x
   Web of Science ®Google Scholar
• Specia, L., Jauhar, S. K., Mihalcea, R. (2012). Semeval-2012 task 1: English lexical simplification [Paper presentation]. * SEM 2012: The First Joint Conference on Lexical and Computational Semantics–Volume 1: Proceedings of the Main Conference and the Shared Task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012) (pp. 347–355).
   Google Scholar
• Thomas, S. R., & Anderson, S. (2012). Wordnet-based lexical simplification of a document [Paper presentation]. Konvens (pp. 80–88).
   Google Scholar
• UNE. (2018). UNE 153101:2018 EX Easy to read. Guidelines and recommendations for the elaboration of documents. https://www.en-standard.eu/une-153101-2018-ex-easy-to-read-guidelines-and-recommendations-for-the-elaboration-of-documents/
   Google Scholar
• W3C. (2022a). Making content usable for people with cognitive and learning disabilities. https://w3c.github.io/coga/content-usable/
   Google Scholar
• W3C. (2022b). Web Content Accessibility Guidelines (WCAG). https://www.w3.org/WAI/standards-guidelines/wcag/
   Google Scholar
• Watanabe, W. M., Junior, A. C., Uzêda, V. R., Fortes, R. P. d M., Pardo, T. A. S., & Aluísio, S. M. (2009). Facilita: Reading assistance for low-literacy readers [Paper presentation]. Proceedings of the 27th ACM International Conference on Design of Communication (pp. 29–36).
   Google Scholar
• Wilkens, R., Oberle, B., Todirascu, A. (2020). Coreference-based text simplification [Paper presentation]. Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI) (pp. 93–100).
   Google Scholar
• World Health Organization. (2011). World report on disability [Tech. Rep.]. https://www.who.int/disabilities/world_report/2011/report/en/
   Google Scholar
• Yimam, S. M., Stajner, S., Riedl, M., & Biemann, C. (2017). Multilingual and cross-lingual complex word identification [Paper presentation]. Ranlp (pp. 813–822).
   Google Scholar