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; Text Summarization; Text Mining; Knowledge discovery; Artificial Intelligence

  • 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 ( 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; education,; 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, ...

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

    The GPLSI group has considerable expertise in automatic summarisation and language generation. We have the know-how to exploit language technologies to aid the effective and efficient management of the massive amounts of information currently available. Regardless of the volume of documents and their textual genre (newswire documents, scientific articles, user-generated content in social networks, etc.), we are experts in developing automatic summarisation applications, such as GPLSI COMPENDIUM (, or TRAVELSUM (, which are capable of: 1) analysing the content of heterogeneous information sources; 2) determining and selecting the most relevant information; and, 3) synthesising and/or adapting such information, resulting in a brief personalised summary that can be used as a substitute for the original sources. Summarisation applications, which offer essential and concisely presented information that is adapted to specific and various requirements, are crucial to deal with the information overload problem in our present-day digital society (infoxication/infobesity or infodemic). How society consumes and interprets information has changed making it very costly and time consuming to manually carry out efficient information analysis. However, thanks to automatic summarisation, both analysis time and information accessibility can be optimized and improved.

Contact details

Elena Lloret

Submitted on 2021-03-31 15:10:23

« Return to the partner search tool