Incorporating Demographic Factors into Natural Language Processing Models

Project description

Including demographics in language technology

Incorporating demographic factors in language technology is difficult. But that is the aim of the EU-funded INTEGRATOR project, developing novel data sets, theories and algorithms to incorporate demographic factors into language technology. This will improve the performance of existing tools for all users, reduce demographic bias and enable new applications. Current natural language processing technology fails to account for demographics, both in language understanding (e.g. sentiment analysis) and generation. This failure prevents us from reaching human-like performance, limits possible future applications and introduces systematic bias against underrepresented demographic groups.

Fields of science

• natural sciences › computer and information sciences › data science › natural language processing
• natural sciences › computer and information sciences › artificial intelligence › machine learning › reinforcement learning

Programme(s)

• H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme

Topic(s)

• ERC-2020-STG - ERC STARTING GRANTS

Call for proposal

ERC-2020-STG

See other projects for this call

Funding Scheme

ERC-STG - Starting Grant

Host institution

UNIVERSITA COMMERCIALE LUIGI BOCCONI

Net EU contribution

€ 1 498 937,00

Address

Via Sarfatti 25
20136 Milano
Italy

Region

Nord-Ovest › Lombardia › Milano

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00

Beneficiaries (1)

UNIVERSITA COMMERCIALE LUIGI BOCCONI

Italy

Net EU contribution

€ 1 498 937,00

Address

Via Sarfatti 25
20136 Milano

Region

Nord-Ovest › Lombardia › Milano

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00