Research Lines
Research Lines
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Areas of Interest
Areas of Interest
NLP for Human-centered Scientific Applications
NLP for Human-centered Scientific Applications
Recognizing the wealth of insights hidden within textual data across various disciplines, we apply cutting-edge NLP techniques to address research questions in the various human-centered sciences. By collaborating with experts in fields such as clinical psychology, nutrition, neuroscience, speech therapy, history and literature, we aim to unlock new knowledge and perspectives, leveraging the power of computational analysis to uncover hidden patterns, trends, and relationships within textual sources.
Language as a Window to Human Experience
We explore the profound interplay between language and the human experience. We leverage advanced natural language processing (NLP) methods to analyze and interpret vast amounts of textual data, seeking patterns and insights that illuminate the complexities of human communication and social interaction, as well as thought and cognition. Utilizing the strength of modern large language models, we aim to develop new methodologies and research questions in order to enhance scientific understanding of human behavior, social dynamics, and cultural phenomena.
Exploration of Language Models
This research direction delves into the core of artificial intelligence, examining the mechanisms and capabilities of large language models. We investigate how these models acquire and represent knowledge, generate creative text, and exhibit behaviors resembling human-like understanding. By scrutinizing their inner workings, we seek to unravel the fundamental principles of computation, language learning, and the nature of intelligence itself, shedding light on the potential and limitations of AI as it increasingly permeates our lives.
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