Text mining in education

R Ferreira‐Mello, M André, A Pinheiro… - … : Data Mining and …, 2019 - Wiley Online Library
The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …

Data-driven sentence simplification: Survey and benchmark

F Alva-Manchego, C Scarton, L Specia - Computational Linguistics, 2020 - direct.mit.edu
Sentence Simplification (SS) aims to modify a sentence in order to make it easier to read
and understand. In order to do so, several rewriting transformations can be performed such …

Predictive model for dyslexia from fixations and saccadic eye movement events

AJ Prabha, R Bhargavi - Computer Methods and Programs in Biomedicine, 2020 - Elsevier
Background Dyslexia is a disorder characterized by difficulty in reading such as poor speech
and sound recognition. They have less capability to relate letters and form words and exhibit …

Alector: A parallel corpus of simplified French texts with alignments of misreadings by poor and dyslexic readers

N Gala, A Tack, L Javourey-Drevet… - Proceedings of the …, 2020 - aclanthology.org
In this paper, we present a new parallel corpus addressed to researchers, teachers, and
speech therapists interested in text simplification as a means of alleviating difficulties in …

Prediction of dyslexia from eye movements using machine learning

A Jothi Prabha, R Bhargavi - IETE Journal of Research, 2022 - Taylor & Francis
Dyslexia is a reading disability and a language disorder where the individual exhibits
difficulty in reading, writing, speaking, and trouble in spelling words. Early prediction of …

Lexi: A tool for adaptive, personalized text simplification

J Bingel, G Paetzold, A Søgaard - Proceedings of the 27th …, 2018 - aclanthology.org
Most previous research in text simplification has aimed to develop generic solutions,
assuming very homogeneous target audiences with consistent intra-group simplification …

A survey on using gaze behaviour for natural language processing

S Mathias, D Kanojia, A Mishra… - arxiv preprint arxiv …, 2021 - arxiv.org
Gaze behaviour has been used as a way to gather cognitive information for a number of
years. In this paper, we discuss the use of gaze behaviour in solving different tasks in natural …

Towards best practices for leveraging human language processing signals for natural language processing

N Hollenstein, M Barrett, L Beinborn - Proceedings of the second …, 2020 - aclanthology.org
NLP models are imperfect and lack intricate capabilities that humans access automatically
when processing speech or reading a text. Human language processing data can be …

At a glance: The impact of gaze aggregation views on syntactic tagging

S Klerke, B Plank - Proceedings of the Beyond Vision and …, 2019 - aclanthology.org
Readers' eye movements used as part of the training signal have been shown to improve
performance in a wide range of Natural Language Processing (NLP) tasks. Previous work …

Strong baselines for complex word identification across multiple languages

P Finnimore, E Fritzsch, D King, A Sneyd… - arxiv preprint arxiv …, 2019 - arxiv.org
Complex Word Identification (CWI) is the task of identifying which words or phrases in a
sentence are difficult to understand by a target audience. The latest CWI Shared Task …