Projects

The main objective of the lorAI project is to upgrade the Kempelen Institute of Intelligent Technologies (KInIT) to a leading R&I institution in low resource artificial intelligence (LRAI) in Slovakia

Natural language processing (NLP) has demonstrated impressive performance in some human tasks. To achieve such performance, current neural models need to be pre-trained on huge amounts of raw text dat

Language is implicit - it omits information. Filling this information gap requires contextual inference, background- and commonsense knowledge, and reasoning over situational context. Language also ev

NotAs explores the feasibility of an AI-supported emergency call assistant to support dispatchers in a 112-call center in handling foreign language calls. Services for automatic speech recognition, tr

In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI can explain in one sentence why it acted the way

Virtually all NLP systems nowadays use vector representations of words, a.k.a. word embeddings. Similarly, the processing of language combined with vision or other sensory modalities employs multimoda

With 24 official EU and many more additional languages, multilingualism in Europe and an inclusive Digital Single Market can only be enabled through Language Technologies (LTs). European LT business i

In real disaster response deployments to date, robots have been used as fully teleoperated tools. With increasing autonomy, robotic systems should become agents that actively contribute to a mission.

In order to ensure professional human quality level translation results, in many cases, the output of Machine Translation (MT) systems has to be manually post-edited by human experts. The postediting