Determine the attitude expressed in a text towards a topic, and use this for automatic evidence-based fact checking
Explaining relationships between inputs and outputs of black-box machine learning models
Detecting social biases such as gender and racial bias, in text as well as in language models
Automatically processing scholarly data to assist researchers in finding publications, writing better papers, or tracking their impact.
Answering questions automatically, including in conversational settings
Extract information about entities, phrases and relations between them from text to populate knowledge bases