My research focuses on how people solve complex tasks such as understanding language or processing visual information. My approach to understanding human cognition combines experimental techniques such eyetracking with computational modeling. Eyetracking makes it possible to build up a highly accurate picture of where people look when they read a sentence, speak a word, or view a visual scene. The data generated by eyetracking experiments allows us to build computational models that simulate the behavior we want to study. Such models predict, for instance, which words humans fixate when they read a text, or which objects they focus on when searching a visual scene.
|Watch a short video about my research:||Watch a long video about my research:|
|Gella, Elliott, Keller. Cross-lingual
Visual Verb Sense Disambiguation. NAACL 2019.
||Papalampidi, Keller, Frermann, Lapata. Screenplay Summarization Using Latent Narrative Structure. ACL 2020.|
- If you are thining about doing a PhD in the area of language and cognition, check out our new UKRI Centre for Doctoral Training in Natural Language Processing.
- Congratulations to my PhD student Bowen Li, whose paper An Imitation Learning Approach to Unsupervised Parsing was nominated for the Best Short Paper Award at ACL 2019.