Text presented in augmented reality provides in-situ, real-time information for users. However, this content can be challenging to apprehend quickly when engaging in cognitively demanding AR tasks, especially when it is presented on a head-mounted ...

Knowledge Graph (KG)-to-Text Generation has seen recent improvements in generating fluent and informative sentences which describe a given KG. As KGs are widespread across multiple domains and contain important entity-relation information, and as text ...

Patents are legal documents that aim at protecting inventions on the one hand and at making technical knowledge circulate on the other. Their complex style -- a mix of legal, technical, and extremely vague language -- makes their content hard to access ...

The occurrence of unknown words in texts significantly hinders reading comprehension. To improve accessibility for specific target populations, computational modeling has been applied to identify complex words in texts and substitute them for simpler ...

Unsupervised text simplification has attracted much attention due to the scarcity of high-quality parallel text simplification corpora. Recent an unsupervised statistical text simplification based on phrase-based machine translation system (...

Patients are increasingly using the web for understanding medical information, making health decisions, and validating physicians' advice. However, most of this content is tailored to an expert audience, due to which people with inadequate health ...

Automated complex word identification (CWI) is a crucial task in several applications, from readability assessment to lexical simplification. So far, several works have modeled CWI with the goal of targeting the needs of non-native speakers. However, ...

Developing intelligent virtual characters has attracted a lot of attention in the recent years. The process of creating such characters often involves a team of creative authors who describe different aspects of the characters in natural language, and ...

In this study, we propose a readability measure for Web documents and an information retrieval system that considers readability. Previous information retrieval systems aim to identify documents that are relevant to a given query; however, as information ...

People with Autism Spectrum Disorder (ASD) are known to experience difficulties in reading comprehension, as well as to have unusual attention patterns, which makes the development of user-centred tools for this population a challenging task. This paper ...

Reading text on the Web is a challenging task for many people, such as those with cognitive impairments, reading difficulties or people who are learning a new language. In this paper we present a web browser plug-in to help with reading Spanish text on ...

Text can often be complex and difficult to read, especially for people with cognitive impairments or low literacy skills. Text simplification is a process that reduces the complexity of both wording and structure in a sentence, while retaining its ...

In this paper we present the evaluation of DysWebxia, a reading app for iOS devices, specially designed for people with dyslexia. DysWebxia integrates previous results about the best way to present text for people with dyslexia together with a unique ...

In this paper, we examine children stories and propose a text simplification system to automatically generate simpler versions of the stories and, therefore, make them easier to understand for children, especially ones with difficulty in reading ...

Although providing understandable information is a critical component in healthcare, few tools exist to help clinicians identify difficult sections in text. We systematically examine sixteen features for predicting the difficulty of health texts using ...

In this paper we study the effect of different lexical resources and strategies for selecting synonyms in a lexical simplification system for the Spanish language. The resources used for the experiments are the Spanish EuroWordNet, the Spanish Open ...

This paper presents a text simplification method that transforms complex sentences into simplified forms. Our method uses NLP-techniques to simplify the text based on the target audience context, improving its overall understandability. We evaluate our ...

Deaf people have particular difficulty in understanding text-based web documents because their mother language, or sign language, is essentially visually oriented. To enhance the readability of text-based web documents for deaf people, we propose a news ...

We present a user study for two different automatic strategies that simplify text content for people with dyslexia. The strategies considered are the standard one (replacing a complex word with the most simpler synonym) and a new one that presents ...

Because patients customarily receive medical text that is difficult to understand, we are developing a simplification algorithm to support simpler writing by medical professionals. Our algorithm relies on term familiarity and automatically suggests ...