CoChat
Sign Up
Cited by 10Text Readability and SimplificationArtificial Intelligence in EducationNatural Language Processing Techniques

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

AI-Driven Inclusion: Exploring Automatic Text Simplification and Complexity Evaluation for Enhanced Educational Accessibility

Schicchi, Daniele, Taibi, Davide·2024·Communications in Computer and Information Science
DOI 10.1007/978-3-031-67351-1_24
Open this paper in CoChat — free account

Overview

Integrity signals

Registry

Crossref · 10.1007/978-3-031-67351-1_24

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Murtaza et al. demonstrated that AI systems can produce simplified, domain-appropriate explanations of complex learning materials.

    “In the context of educational technology, Murtaza et al. [24] demonstrated that AI systems can produce simplified, domain-appropriate explanations of complex learning materials, helping to make content more accessible to learners.”

    From Accessible IoT Dashboard Design with AI-Enhanced Descriptions for Visually Impaired Users (2025) · cites this paper as [24]

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 12

  1. Chall, J.S., Conard, S.S., Harris-Sharples, S.: S.: Should textbooks challenge students? The case for easier or harder textbooks. Teachers College Press (1991)
  2. Dale, E., Chall, J.S.: The concept of readability. Elem. Engl. 26(1), 19–26 (1949). http://www.jstor.org/stable/41383594
  3. De Belder, J., Moens, M.F.: Text simplification for children. In: Proceedings of the SIGIR Workshop on Accessible Search Systems, pp. 19–26. ACM, New York (2010)
  4. Dell’Orletta, F., Montemagni, S., Venturi, G.: Read-it: assessing readability of Italian texts with a view to text simplification. In: Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies, pp. 73–83. Association for Computational Linguistics (2011)
  5. Fry, E.B.: Elementary Reading Instruction. McGraw-Hill, New York (1977)
  6. Leary, B.E.: Difficulties in reading material. In: Gray, W.S. (ed.) Reading in General Education, pp. 301–2. American Council on Education, Washington, D.C. (1940)
  7. Martin, L., Fan, A., de la Clergerie, É., Bordes, A., Sagot, B.: Muss: multilingual unsupervised sentence simplification by mining paraphrases. arXiv preprint arXiv:2005.00352 (2021) · arXiv
  8. Martin, L., Sagot, B., de la Clergerie, E., Bordes, A.: Controllable sentence simplification. arXiv preprint arXiv:1910.02677 (2019) · arXiv
  9. Omelianchuk, K., Raheja, V., Skurzhanskyi, O.: Text simplification by tagging. ArXiv abs/2103.05070 (2021) · arXiv
  10. Schicchi, D., Upadhyaya, A., Fisichella, M., Taibi, D.: Using chatgpt to enhance students’ behavior in social media via the moral foundation theory. In: Proceedings of the First International Workshop on High-performance Artificial Intelligence Systems in Education co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023). CEUR Workshop Proceedings, vol. 3605 (2023)
  11. Tinker, M.A.: Relative importance of factors of interest in reading materials for junior high school pupils, dale zeller (book review). J. Educ. Res. 35, 716–717 (1941)
  12. Xia, M., Kochmar, E., Briscoe, T.: Text readability assessment for second language learners. CoRR abs/1906.07580 (2019). http://arxiv.org/abs/1906.07580 · arXiv

Cited by

Sorted by citations

Related

Metadata

Authors
Schicchi, D., & Taibi, D.
Affiliations
National Research Council (IT)
Corresponding author
Schicchi, Daniele
ORCID
Venue
Communications in Computer and Information Science
Publisher
Springer Nature Switzerland
Published
2024
Pages
359-371
ISSN
  • 1865-0929 (ISSN-L)
  • 1865-0937
DOI
10.1007/978-3-031-67351-1_24
OpenAlex
W4402632514
Cited by
10
References
16
Citations by year
2026: 3 · 2025: 5 · 2024: 2
FWCI
2.89
Type
conference paper
Language
en
Open access
closed
Licence
Locations
Communications in computer and information science (publishedVersion)
Topics
  • Social Sciences › Linguistics and Language › Text Readability and Simplification
  • Social Sciences › Education › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
Keywords
text simplification, inclusive education, access to education, reading proficiency, linguistic complexity, personalized learning, special educational needs, university students, artificial intelligence in education

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review