Text mining in education
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, specially in text format from forums, chats, social networks, assessments, essays …
Data-driven sentence simplification: Survey and benchmark
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 …
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
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 …
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
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 …
speech therapists interested in text simplification as a means of alleviating difficulties in …
Prediction of dyslexia from eye movements using machine learning
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 …
difficulty in reading, writing, speaking, and trouble in spelling words. Early prediction of …
Lexi: A tool for adaptive, personalized text simplification
Most previous research in text simplification has aimed to develop generic solutions,
assuming very homogeneous target audiences with consistent intra-group simplification …
assuming very homogeneous target audiences with consistent intra-group simplification …
A survey on using gaze behaviour for natural language processing
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 …
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
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 …
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
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 …
performance in a wide range of Natural Language Processing (NLP) tasks. Previous work …
Strong baselines for complex word identification across multiple languages
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 …
sentence are difficult to understand by a target audience. The latest CWI Shared Task …