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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>CLEAR.TEXT Enhancing the Modernization Public Sector Organizations by Deploying Natural Language Processing to Make Their Digital Content CLEARER to Those with Cognitive Disabilities</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Paloma Moreda</string-name>
          <email>moreda@dlsi.ua.es</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Beatriz Botella</string-name>
          <email>beatriz.botella@dlsi.ua.es</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Isabel Espinosa-Zaragoza</string-name>
          <email>isabel.espinosa@ua.es</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Elena Lloret</string-name>
          <email>elloret@dlsi.ua.es</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Tania J. Martin</string-name>
          <email>tania.martin@ua.es</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Patricio Martínez</string-name>
          <email>patricio@dlsi.ua.es</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Armando Suárez</string-name>
          <email>armando@dlsi.ua.es</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Manuel Palomar</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>GPLSI research group, Dept. of Software and Computing Systems Universidad de Alicante CENID - Centro de Inteligencia Digital 03690, San Vicente</institution>
          ,
          <addr-line>Alicante</addr-line>
          ,
          <country>España</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The CLEAR.TEXT project (TED2021-130707B-I00) researches how natural language processing technology can support the authoring of accessible content in Spanish for people with cognitive disabilities. Our main objective is to research, implement, deploy, evaluate, and ultimately provide robust technologies for natural language processing to support the authoring of accessible Spanish content for public sector organisations (at local, regional and national level) that is intelligible to people with cognitive disability, thereby widening their inclusion and empowerment in Europe. It is expected to impact positively the quality of life of people with cognitive disabilities, facilitating their access to educational, vocational, cultural, and social opportunities in public sector organisations 1https://cleartext.gplsi.es/ 2https://cvnet.cpd.ua.es/curriculumbreve/grp/es/procesamiento-del-lenguaje-y-sistemas-de- informacion-(gplsi)/596</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;Human Language Technologies</kwd>
        <kwd>Natural Language Processing</kwd>
        <kwd>Automatic Text Simplification</kwd>
        <kwd>Automatic Summaries</kwd>
        <kwd>Artificial Intelligence</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <sec id="sec-1-1">
        <title>Spanish for people with cognitive disabilities with a view</title>
        <p>to widening their inclusion and empowerment in Europe.</p>
        <p>People with cognitive disabilities have significant limi- With this hypothesis in mind, the CLEAR.TEXT
tations in their intellectual functioning and/or may also project1 funded by the Spanish Government and the
Eurolack the ability to adapt to everyday situations. In fact, pean Union and developed by the GPLSI research group2
individuals with cognitive impairment have spoken and of the University of Alicante. The project focuses on
written word comprehension deficit that may include research, implement, deploy, evaluate, and ultimately
misinterpretation of literal meanings and dificulty un- provide robust technologies for NLP to support the
auderstanding complex instructions. They are confused thoring of accessible Spanish content for public sector
by idioms, figures of speech, abstractions, uncommon organisations (at local, regional and national level) that
words, and lack of precision. is intelligible to people with cognitive disability, thereby</p>
        <p>At present, natural language processing (NLP) tech- widening their inclusion and empowerment in Europe.
nologies are mature enough to provide a sound basis This, in turn, will improve the ability to access written
for the development of components to automatically de- information for all people, thereby reducing the risk of
tect and remove obstacles to reading comprehension and exclusion for those with cognitive disability. The project
generate additional content to facilitate reading com- is expected to impact positively the quality of life of
peoprehension. Hence, we start with the hypothesis that ple with cognitive disabilities, facilitating their access to
research, development and deployment of NLP technol- educational, vocational, cultural, and social opportunities
ogy can support the authoring of accessible content in in public sector organisations.</p>
      </sec>
    </sec>
    <sec id="sec-2">
      <title>2. Objectives of the Project</title>
      <sec id="sec-2-1">
        <title>The main objective of the CLEAR.TEXT project can be</title>
        <p>divided into the following specific objectives:</p>
        <p>The methodology has been organised into six main
modules whose tasks and results are interlinked, as
shown in Figure 1. An additional transversal seventh
module focusses on coordination tasks.
• O1. To analyse the main comprehension obstacles
posed by the language used in the web content
of Spanish public sector organizations, such as
ministries and other government agencies, for
people with cognitive disabilities.
• O2. To analysis of the needs of people with
cog</p>
        <p>nitive disabilities.
• O3. To research and adapt the COMPENDIUM</p>
        <p>System to the needs of public sector
documentation.
• O4. To research, implement, deploy, and
ultimately provide robust technologies to support
the processing of structural complexity.
• O5. To research, implement, deploy, and
ultimately provide robust technologies to support
the processing of ambiguity in meaning.
• O6. To research, implement, deploy, and
ultimately provide a robust text simplification system
oriented towards public administration
documentation.
• O7. To evaluate the simplification system.
• O8. To promote and disseminate the research
results obtained from the project through diferent
national and international media –including well
indexed journals, conferences, seminars, etc., as
well as exploit the potential for transferring this
technology to society.</p>
        <p>Module A. Establishment and Analysis of User
Requirements</p>
        <p>This module is organized into two tasks which are
detailed below.
3. Human Resources Task A.1. Analysis of the main language phenomena.
The objective of this task is to analyse the language
pheA multidisciplinary research team, comprising 5 special- nomena, which will be referred to as obstacles to reading
ists from the Computer Science and 3 from the Linguis- comprehension, both obstacles caused by ambiguity in
tics fields; in all 7 PhD holders and 1 technician. All meaning and obstacles caused by structural complexity,
researchers, 5 women and 3 men, are members of the such us dificult words; morphologically,
orthographiGPLSI research group. cally, and phonetically long or complex words;
figura</p>
        <p>The team has extensive experience spanning 30 years tive language such as metaphor and idioms; long and
of NLP-focused technological research and development, syntactically complex sentences; or semantically highly
and specifically concerning the requested project in the specialised/technical words, among others.
areas of word sense disambiguation, anaphora resolution, Task A.2. User requirements. The objective of this task
coreference, named entity, lexical and syntactic analysis, is to determine the users’ requirements. For this, it is
text summarization, and text simplification -[ ? ], [? ], [? ifrst necessary to determine and analyze the types of
], [? ], [? ], [? ], [? ], [? ]. cognitive disabilities (dysphasia, Down syndrome, Fragile
X syndrome and Autism Spectrum disorder) and, second,
to establish user requirements and needs to facilitate
4. Methodology and Work Plan information access for each type of cognitive disability.
Module B. Text summarization system:
COMThe research work that would be addressed in the PENDIUM
CLEAR.TEXT project will have a duration of two years, Based on the expertise and previous research carried
starting from 1st September 2022. out by the team of the project, together with the
advancements of the state of the art in this task -[? ], [? ], [? ]- the non-literal language.
main goal of this module is to adapt the COMPENDIUM Task D.1. Coreference resolution. One important
protool [? ] to summarize administrative texts written in cess in the conversion of documents into a form
facilitatSpanish. Therefore, the following two tasks are included ing reading comprehension is coreference resolution, in
in this module. which links between pronouns and noun phrases
refer</p>
        <p>Task B.1. Adapting COMPENDIUM to summarize docu- ring to the same concept are automatically identified.
ments of the public administrations. The main objective Task D.2. Word sense disambiguation. One prevalent
of this task is to adapt and fine-tune COMPENDIUM’s source of ambiguity in language is word sense ambiguity,
approach to enable efective summarization of Spanish that is, when a single word may have any one of several
text documents generated by public sector organizations. meanings depending on the context in which it is used.
The type of summary to be generated will be abstractive, Task D.3. Processing of dificult words . The language
which means that not only the relevant information will used in public sector documents tends to be that of a
be extracted, but also, such relevant information will be sophisticated and technical nature. These documents
paraphrased using diferent vocabulary and structures, usually contain archaisms, highly technical language,
guaranteeing that the same meaning in the generated acronyms or aphorisms. The objective addressed by this
text. task, via constructing or adapting a complex word
pro</p>
        <p>Task B2. Integrate COMPENDIUM in an accessible cessing tool, will be the detection and evaluation of the
and easy-to-use platform. Once the COMPENDIUM tool degree of complexity of these terms and their substitution
has been adapted for Spanish public sector documents by other equivalent words that are more easily
under(task B.1), the goal of this task is to integrate the gen- stood.
erated software into a user-friendly platform, so that Module E. Generation of simplex Documents
it can be accessible and easy to use. For this, we will This project will be based on converting documents
take into account the Web Accessibility Guidelines de- into an accessible personalised form for end-user profiles
ifned by the World Wide Web Consortium (W3C) 3, not with cognitive dificulties.
only for the design of the Web interface, but also for Task E.1. Language processing components. One aspect
the best way to output the content generated as the of this functionality will be achieved by the
implementaresulting summary, meeting the standards defined in: tion of language processing components aimed at
removhttps://www.w3.org/WAI/standards-guidelines/wcag/. ing obstacles to reading comprehension while preserving
Module C. Processing of structural complexity the meanings expressed by the original document. The
This module aims at to analyse and investigate the language processing components implemented in the
state of the art of three main areas of natural language project will detect and remove obstacles caused by
strucprocessing, and their application to the simplification tural complexity (Module B) and ambiguity in meaning
of texts. These areas are lexical processing, syntactic (Module C).
processing, and discourse processing. Task E.2. Generation of simplex documents. The second</p>
        <p>Task C.1. Lexical processing. The detection and removal aspect of the conversion process will be the generation of
of obstacles to reading comprehension caused by the content consist in textual data occurring in the document
individual words used in documents that users wish to to supplement that textual data. This content will include
access will build on a variety of related research. An document navigation tools, summaries, pre-reading
quesexhaustive review of the state of the art will be carried tions, and images.
out to determine the best lexical tools. Task E.3. SIMPLE.TEXT System. Construction of a
sys</p>
        <p>Task C.2. Syntactic processing. Many technologies to tem that integrates the set of tools developed into a
platdetect and remove syntactic obstacles to reading compre- form that is accessible and easy to use.
hension depend on syntactic parsing. Syntactic relations Module F. Evaluation and quality
such as coordination and subordination, signaled by us- Task F.1. Evaluation and quality. The objective of this
ing conjunctions and punctuation, must be recognised task is to ensure the quality of the technology and results
accurately. An exhaustive review of the state of the art obtained in previous tasks. Both intrinsic and extrinsic
will be carried out to determine the best syntactic tools. evaluation methods will be performed. The implemented
Module D. Processing of ambiguity in meaning system (SIMPLE.TEXT system) will be evaluated with
Various lines of research in the state of the art of respect to the accessibility of the personalised documents
processing ambiguity in meaning are relevant to the that it generates by means of reading comprehension
testproject. These include related work in three main areas: ing. The usability of the system by people with cognitive
i)anaphora and coreference resolution, ii) the process- disabilities will be evaluated, and a qualitative research
ing of word sense ambiguity, and iii) the processing of methodology employed to assess the contribution to
inclusion resulting from the use of the technology.
3https://www.w3.org/WAI/fundamentals/accessibility-intro/ Module G. Project coordination</p>
      </sec>
      <sec id="sec-2-2">
        <title>The objective of this module is to coordinate the flow</title>
        <p>of internal communication, evaluate progress and, if
necessary, readjust the objectives. To successfully achieve
this goal, one task is proposed (Task G.1. Project
monitoring).</p>
        <p>Module H. Project dissemination</p>
        <p>This module is concerned with coordinating and
supervising the dissemination of the project through
publications and other means.</p>
        <p>Task H.1. Dissemination of the project. The
dissemination of the project, as well as the derived results, will
be carried out during all stages of the project. The plan
for communication, dissemination and exploitation of
results will be articulated on three levels: i) information
on the project and its development through a dedicated
website; ii) scientific publications with research results,
and iii) dissemination and exploitation of resources and
prototypes created in the research project.</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>5. Scientific-Technical Impact</title>
      <p>Language technologies are at the cornerstone of AI and
are among those tools for which there will be the
greatest demand in the next decade. Concerning the scientific
and technical impact, our project focuses on research
and development of technologies on NLP to support the
authoring of accessible Spanish content for public sector
organisations that is intelligible to people with cognitive
disability. Applications derived from this research
include the following: texts summarisation; texts
simplification; lexical and syntactic analysis; anaphora resolution;
word sense disambiguation; the creation of
summarization reports providing explanations; and facilitating the
comprehension of complex expressions (e.g. metaphors)
in public sector organizations domains. The methods,
models, resources, and systems that will be researched,
developed and deployed in the project will attract the
interest of the NLP and AI research communities.</p>
    </sec>
    <sec id="sec-4">
      <title>6. Social and Economical Impact</title>
      <p>We can identify the following positive social and
economic impacts for people with cognitive disabilities that
would result from being granted the opportunity to
develop the proposed project:
• Social impact for those with cognitive disabilities:
– Promotes a cooperation between the
technological and social fields, with a view to
the design of technological solutions that
consider the needs of people with
disabilities.
– Facilitates the daily actions of people with</p>
      <p>disabilities.
– Widens inclusion and empowerment in
Eu</p>
      <p>rope.
– Improves the quality of life of those with
cognitive disabilities, enhancing their
access to educational, vocational, cultural,
and social opportunities in Europe.
– Promotes an independent life and the
ca</p>
      <p>pability to realize personal goals.
– Enables access to a meaningful education.
– Encourages personal involvement in all
de</p>
      <p>cisions that afect their future.
– Promotes participation in the benefits
offered by cultural, recreational and sporting
activities.
• Economical impact for those with cognitive
disabilities:
– Facilitates accessibility to digital
information to promote economic and political
inclusion.
– Promotes full labor inclusion by 2024
through increased employment
opportunities for individuals with cognitive
disabilities and improved productivity by
facilitating their ability to perform work-related
tasks.
– Widens inclusion and empowerment in
Eu</p>
      <p>rope.
– Enables participation in the services
provided for promoting efective management
of personal finances.
– Provides equal access to and use of all
facilities, services and activities in the public.
sector organizations at local, regional and
national level, such as filing tax returns,
payment of fines, community charges, etc.</p>
    </sec>
    <sec id="sec-5">
      <title>Aknowledgements</title>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          <article-title>This research work is part of the CLEAR</article-title>
          .
          <article-title>TEXT - Facilitates accessibility to digital informa- project (TED2021-130707B-I00), funded by</article-title>
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          <article-title>tion to promote social, and educational in-</article-title>
          <source>MCIN/AEI/10</source>
          .13039/501100011033 and European
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>