CHANSE Call Partner Search Tool


This is a match-making section for CHANSE Transformations: Social and cultural dynamics in the digital age.

General Information

  • Type: Partner looking for project
  • Organisation: University of Alicante
  • Country: Spain (ES)

Research area

  • Call topics:
    • Cultural Transformations in the Digital Age
    • Digitalisation and Social Transformation
  • Keywords:

    Natural Language Processing Knowledge Discovery Social Media Artificial Intelligence Machine Learning

  • Brief description of your expertise / expertise you are looking for:

    The Natural Language Processing and Information Systems Research Group (GPLSI) of the University of Alicante (UA, Spain) has extensive experience in research, technological development and innovation in Human Language Technologies (HLT), as evidenced by its participation in numerous European and national projects (https://gplsi.dlsi.ua.es) GPLSI has developed know-how in several text and data mining techniques, including, among others: information retrieval; classification and extraction; knowledge discovery; semantic enrichment; and, ontology assembly and language generation. These data mining techniques can be applied independently or integrated in various sectors: legal; health; environment; tourism and transport, or they can be applied to dealing with biases as well as to the detection of fake news and analysis of digital reputation, etc.

  • Brief description of your project / the project you would like to join:

    There are many studies that empirically support the idea that by using language we can exclude, discriminate or oppress a disadvantaged group and influence their future decisions. This contributes to the generation of a gap due to gender, race, sexual orientation, religion, ethnicity, etc. Changing what we do when we use language is not just a matter of changing our intentions. Using some words in certain contexts we can be excluding a group unintentionally, we can also deliberately exclude a group and try to cover it up. Inclusive language is an invitation to participate in this obligation, to think about the position we actually occupy when we use language. The idea that underlies the task of being inclusive with our linguistic behavior is to combat inequality also from the perspective of language, both deliberate and not, trying to eliminate discriminatory uses and making underrepresented groups visible. The development of tools based on PLN that can identify a non-inclusive language will allow correcting descriptions that inadvertently discriminate against a certain group. Biases in learning systems Systems based on artificial intelligence take real life examples and data as a starting point, this leads to documents with language-related biases being incorporated into systems and therefore we have systems that incorporate inequality, exclusion, etc. Therefore, it is necessary to have tools that identify these documents / examples with which the systems that can produce non-inclusive systems are fed.

Contact details

Rafael Muñoz

Submitted on 2021-03-31 12:46:03

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