20 papers · ranked by Valyu relevance
Sofie Beier, Sam Berlow, Esat Boucaud, Zoya Bylinskii + 24 more
'Jenae Cohn' 'Kathy Crowley' 'Stephanie Day' 'Tilman Dingler' 'Jonathan Dobres' 'Jennifer Healey' 'Rajiv Jain' 'Marjorie Jordan' 'Bernard J Kerr' 'Qisheng Li' 'David Miller' 'Susanne Nobles' 'Alexandra Papoutsaki' 'Jing Qian' 'Tina Rezvanian' 'Shelley Rodrigo' 'Ben D. Sawyer' 'Shannon M. Sheppard' 'Bram Stein' 'Rick…
Scott Crossley, Aron Heintz, Joon Suh Choi, Jordan Batchelor + 2 more
This paper introduces the CommonLit Ease of Readability (CLEAR) corpus, which provides unique readability scores for ~ 5000 text excerpts along with information about the excerpt’s year of publishing, genre, and other metadata. The CLEAR corpus will provide researchers interested in discourse processing and reading…
Gleice Carvalho de Lima Moreno, Marco P. M. de Souza, Nelson Hein, Adriana Kroenke
'Adriana Kroenke'] I n the initial stage of human life, communication, seen as a process of social interaction, was always the best way to reach consensus between the parties. Understanding and credibility in this process are essential for the mutual agreement to be validated. But, how to do it so that this…
Adem Gencer
For common diseases such as lung cancer, patients often use the internet to obtain medical information. As a result of advances in artificial intelligence and large language models such as ChatGPT, patients and health professionals use these tools to obtain medical information. The aim of this study was to evaluate the…
Lihua Jian, Huiqun Xiang, Guobin Le
Text readability is very important in meeting people's information needs. With the explosive growth of modern information, the measurement demand of text readability is increasing. In view of the text structure of words, sentences, and texts, a hybrid network model based on convolutional neural network is proposed to…
Catarina G Belem, Parker Glenn, Alfy Samuel, Anoop Kumar + 1 more
Automatic readability assessment plays a key role in ensuring effective and accessible written communication. Despite significant progress, the field is hindered by inconsistent definitions of readability and measurements that rely on surface-level text properties. In this work, we investigate the factors shaping human…
Som Singh, Aleena Jamal, Fawad Qureshi, Giustino Varrassi
The increasing use of digital applications in healthcare has led to a greater need for patient education materials. These materials, often in the form of pamphlets, booklets, and handouts, are designed to supplement physician-patient communication and aim to improve patient outcomes. However, the effectiveness of these…
Bruce W. Lee, Jason Hyung-Jong Lee
Traditional English readability formulas, or equations, were largely developed in the 20th century. Nonetheless, many researchers still rely on them for various NLP applications. This phenomenon is presumably due to the convenience and straightforwardness of readability formulas. In this work, we contribute to the NLP…
K Klein, Sergey Frenkel, Omer Shubi, Yevgeni Berzak
Readability Measures Authors: ['K Klein' 'Sergey Frenkel' 'Omer Shubi' 'Yevgeni Berzak'] Text readability measures are widely used in many real-world scenarios and in NLP. These measures have primarily been developed by predicting reading comprehension outcomes, while largely neglecting what is perhaps the core aspect…
Riley Grossman, Yi Chen
Unsupervised automatic readability assessment (ARA) methods have important practical and research applications (e.g., ensuring medical or educational materials are suitable for their target audiences). In this paper, we propose a new zero-shot prompting methodology for ARA and present the first comprehensive evaluation…
Melanie J. Wang, Aref Rastegar, Theodore A. Kung
Purpose Breast cancer remains a global public health burden. This study aimed to evaluate the readability of breast cancer articles shared on X (formerly Twitter) during Breast Cancer Awareness Month (October 2024), and it explores the possibility of using artificial intelligence (AI) to improve readability. Methods We…
Afendi Hamat, Azhar Jaludin, Tuti Ningseh Mohd-Dom, Haslina Rani + 3 more
This paper describes a study to evaluate the readability scores of Malaysian newspaper articles meant to create awareness of diabetes among the public. In contrast to patient-specific sources of information, mass media may potentially reach healthy people, thus preventing them from becoming part of the diabetes…
Chase Stokes, Marti A. Hearst
Visualization Authors: ['Chase Stokes' 'Marti A. Hearst'] Visualization research tends to de-emphasize consideration of the textual context in which its images are placed. We argue that visualization research should consider textual representations as a primary alternative to visual options when assessing designs, and…
Aseem Srivastava, Tanya Gupta, Alison Cerezo, Sarah Peregrine (Grin) Lord + 2 more
Online Mental Health Communities (OMHCs), such as Reddit, have witnessed a surge in popularity as go-to platforms for seeking information and support in managing mental health needs. Platforms like Reddit offer immediate interactions with peers, granting users a vital space for seeking mental health assistance.…
Alexia Dalski, Holly Kular, Julia G. Jorgensen, Kalanit Grill-Spector + 1 more
The visual word form area in the occipitotemporal sulcus (OTS), here referred to as OTS-words, responds more strongly to text than other visual stimuli and plays a critical role in reading. Here we hypothesized, that this region’s preference for text may be driven by a preference for reading tasks, as in most prior…
Karen Froud, Lisa Levinson, Chaille Maddox, Paul Smith
We report the first use of ERP measures to identify text engagement differences when reading digitally or in print. Depth of semantic encoding is key for reading comprehension, and we predicted that deeper reading of expository texts would facilitate stronger associations with subsequently-presented related words…
Marissa M. Lee, Catherine J. Stoodley
Reading fluency, the ability to read quickly and accurately, is a critical marker of successful reading and is notoriously difficult to improve in reading disabled populations. Despite its importance to functional literacy, fluency is a relatively under-studied aspect of reading, and the neural correlates of reading…
A. Sina Booeshaghi, Laura Luebbert, Lior Pachter
We develop a machine-automated approach for extracting results from papers, which we assess via a comprehensive review of the entire eLife corpus. Our method facilitates a direct comparison of machine and peer review, and sheds light on key challenges that must be overcome in order to facilitate AI-assisted science. In…
Mabel Urrutia, Esteban J. Pino, María Troncoso-Seguel, Claudio Bustos + 5 more
Inferences are an indicator of a greater reading comprehension, as they imply a combination of implicit and explicit information that usually combines a textual representation with background knowledge of the reader. The aim of this study is to explore the costs and benefits of the time course of inferences in…
Authors not listed
A Python script for the systematic, high-throughput analysis of accurate mass data was developed and tested on over 3,000 Supporting Information (SI) PDFs from Organic Letters. For each SI file, quadruplets of molecular formula, measured ion, e.g. [M+Na]+, reported calculated and found masses were extracted and…