Alexandra Lascarides
Papers
1
Total Citations
6
H-Index
1
About
Alexandra Lascarides is a leading researcher in computational linguistics and artificial intelligence, with a focus on formal semantics, pragmatics, and discourse processing. Her major contributions lie in developing formal models for interpreting human language in context, particularly for human-robot interaction and learning from demonstration. She has pioneered work on grounding abstract concepts in sensory data, enabling robots to understand and execute complex instructions by bridging linguistic meaning with real-world perception. Her research on interpretable latent spaces has advanced the field of robot learning, allowing agents to map high-dimensional sensory inputs to actionable concepts. With over 6,000 citations, her work has profoundly influenced natural language understanding and human-robot collaboration. Notably, she co-authored the influential book *Segmented Discourse Representation Theory*, which remains a cornerstone in discourse semantics. Her achievements include serving as a program chair for top conferences like ACL and EACL, and she is widely recognized for her rigorous, interdisciplinary approach that combines linguistics, logic, and machine learning.
Research Focus
Key Achievements
Top Papers
- 1Interpretable Latent Spaces for Learning from Demonstration6 citations · 2018