Search Results for author: Manuel Tragut

Found 2 papers, 1 papers with code

One Size Does Not Fit All: The Case for Personalised Word Complexity Models

no code implementations Findings (NAACL) 2022 Sian Gooding, Manuel Tragut

We use a novel active learning framework that allows models to be tailored to individuals and release a dataset of complexity annotations and models as a benchmark for further research.

Active Learning Complex Word Identification +1

Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at Scale

1 code implementation11 Jan 2022 Gang Li, Gilles Baechler, Manuel Tragut, Yang Li

The layout of a mobile screen is a critical data source for UI design research and semantic understanding of the screen.

Denoising valid

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