machine learning models

Recently, language technology has seen tremendous advancements due to the development and use of language models, large machine learning models pre-trained on large amounts of textual data. However, while how humans express themselves in language and how they perceive language is largely driven by their individual sociodemographic and sociocultural backgrounds, language models still only partially account for these social aspects. In this talk, I argue that we should consider these social factors more when researching and applying language technology. Concretely, I will discuss some of our recent works relating to effectiveness, fairness, and inclusiveness, which will illustrate the critical role of social factors in natural language processing.

The lecture will be followed by a discussion on the topic. The event will be held in English and will take place in person. You can also participate online by registering your participation via mail.

Institutions

• Network for Artificial Intelligence and Law (NAIL)