project . 2021 - 2026 . On going

INTEGRATOR

Incorporating Demographic Factors into Natural Language Processing Models
Open Access mandate for Publications European Commission
  • Funder: European CommissionProject code: 949944 Call for proposal: ERC-2020-STG
  • Funded under: H2020 | ERC | ERC-STG Overall Budget: 1,498,940 EURFunder Contribution: 1,498,940 EUR
  • Status: On going
  • Start Date
    01 Mar 2021
    End Date
    28 Feb 2026
  • Detailed project information (CORDIS)
  • Open Access mandate
    Research Data: No
Description
The goal of INTEGRATOR is to develop novel data sets, theories, and algorithms to incorporate demographic factors into language technology. This will improve performance of existing tools for all users, reduce demographic bias, and enable completely new applications. Language reflects demographic factors like our age, gender, etc. People actively use this information to make inferences, but current language technology (NLP) fails to account for demographics, both in language understanding (e.g., sentiment analysis) and generation (e.g., chatbots). This failure prevents us from reaching human-like performance, limits possible future applications, and introduces s...
Description
The goal of INTEGRATOR is to develop novel data sets, theories, and algorithms to incorporate demographic factors into language technology. This will improve performance of existing tools for all users, reduce demographic bias, and enable completely new applications. Language reflects demographic factors like our age, gender, etc. People actively use this information to make inferences, but current language technology (NLP) fails to account for demographics, both in language understanding (e.g., sentiment analysis) and generation (e.g., chatbots). This failure prevents us from reaching human-like performance, limits possible future applications, and introduces s...
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