| Diab, I., Suárez-Figueroa, M.C., Peris, R. (2024). Towards an Automatic Easy-to-Read Adaptation of Dialogues in Narrative Texts in Spanish. In: Miesenberger, K., Peňáz, P., Kobayashi, M. (eds) Computers Helping People with Special Needs. ICCHP 2024. Lecture Notes in Computer Science, vol 14751. Springer, Cham. “https://doi.org/10.1007/978-3-031-62849-8_26” |
| Mari Carmen Suárez-Figueroa, Isam Diab, Álvaro González, Jesica Rivero Espinosa. Towards an Automatic Easy-to-Read Adaptation of Morphological Features in Spanish Texts. INTERACT (1) 2023: 176-198 |
| Mari Carmen Suárez-Figueroa, Isam Diab, Edna Ruckhaus, Isabel Cano. First steps in the development of a support application for easy-to-read adaptation. Universal Access in the Information Society (2022). https://doi.org/10.1007/s10209-022-00946-z |
| Isam Diab, Mari Carmen Suárez-Figueroa. Shall the Easy-to-Read Adaptation of Micropoems affect Emotions?. 18th International Conference, ICCHP-AAATE 2022. ICCHP-AAATE 2022 Open Access Compendium “Assistive Technology, Accessibility and (e)Inclusion”. Volume: Part I. Pages: 58-63. https://doi.org/10.35011/icchp-aaate22-p1-08 |
| Mari Carmen Suárez-Figueroa, Anabel Martín. First Attempt to help People with cognitive Disabilities to understand Micropoems. 1st International Easy Language Day Conference (IELD) (2021). Book of Abstracts of the 1st International Easy Language Day Conference (IELD). Pages: 70-71 |
| Mari Carmen Suárez-Figueroa, Edna Ruckhaus, Jorge López-Guerrero, Isabel Cano, Álvaro Cervera. Towards the Assessment of Easy-to-Read Guidelines Using Artificial Intelligence Techniques. Computers Helping People with Special Needs. ICCHP 2020. Lecture Notes in Computer Science, vol 12376, pp: 74-82. https://doi.org/10.1007/978-3-030-58796-3_10 |
| Mirette Elias, Edna Ruckhaus, E. A. Draffan, Abi James, Mari Carmen Suárez-Figueroa, Steffen Lohmann, Abderrahmane Khiat, Sören Auer. Accessibility and Personalization in OpenCourseWare: An Inclusive Development Approach. ICALT 2020: 279-283. 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT), 2020, pp. 279-283, doi: 10.1109/ICALT49669.2020.00091. |
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