Hi everyone,
next week, we will have a CLS Talk by
Victoria Yaneva. Victoria is affiliated with the National Board of Medical Examiners in the US and with the University of Wolverhampton. She will talk about her experiments with eye tracking data to better understand the cognitive processing of linguistic
phenomena and how this information can be integrated with NLP models. Victoria will already be at ILLC on Monday afternoon and Tuesday morning. Contact me if you are interested in talking to her and I will set up a schedule.
Lisa
Date:
12th March, 2019, 4pm, F 1.15, SP 107
Speaker: Victoria Yaneva, University of Wolverhampton
Title: Applying Behavioural Data to NLP Models for Solving Ambiguity and Non-compositionality
Abstract: When processing a text, both humans and machines must cope with ambiguity and non-compositionality. These phenomena represent a considerable challenge for NLP systems, while at the same time there is limited evidence from online measures on how
humans solve them during natural reading. We approach these two problems as one and hypothesize that obtaining information on how humans process ambiguous and non-compositional phrases can improve the computational treatment of such instances. I will present
experiments on using eye-tracking data to improve NLP models for two tasks: classifying the different roles of the pronoun It (nominal anaphoric, clause anaphoric and non-referential), as well as the identification of multi-word expressions. The experiments
test whether gaze-based features improve the performance of state-of-the-art NLP models and the extent to which gaze features can be used to partially or entirely substitute the crafting of linguistic ones. The best-performing models are then analysed to better
understand the cognitive processing of these linguistic phenomena and findings are discussed with respect to the E-Z model of reading and the processing stages during which disambiguation occurs.