LAST at CMCL 2021 shared task: Predicting gaze data during reading with a gradient boosting decision tree approach

Bestgen, Yves

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Abstract
A LightGBM model fed with target word lex- ical characteristics and features obtained from word frequency lists, psychometric data and bigram association measures has been opti- mized for the 2021 CMCL Shared Task on Eye-Tracking Data Prediction. It obtained the best performance of all teams on two of the five eye-tracking measures to predict, allowing it to rank first on the official challenge criterion and to outperform all deep-learning based sys- tems participating in the challenge.
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