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Conversational Machine Comprehension
This chapter discusses neural approaches to conversational machine comprehension (CMC). A CMC module, which is often referred to as reader, generates...
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Emergency remote teaching of listening comprehension using YouTube videos with captions
Emergency remote teaching of listening comprehension is a challenge requiring rethinking of the delivery methods and use of technologies. The paper...
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TextREC: A Dataset for Referring Expression Comprehension with Reading Comprehension
Referring expression comprehension (REC) aims at locating a specific object within a scene given a natural language expression. Although referring...
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Numerical reasoning reading comprehension on Vietnamese COVID-19 news: task, corpus, and challenges
Numerical reasoning-based machine reading comprehension is a challenging task that involves language understanding with arithmetic operations such as...
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Examining the effect of augmented reality experience duration on reading comprehension and cognitive load
The purpose of this study is to examine the effect of the duration of students’ augmented reality (AR) experience on reading comprehension and...
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Biomedical Abstract Sentence Classification by BERT-Based Reading Comprehension
In this paper, we report the investigation of leveraging a reading comprehension model based on BERT for sentence classification in scientific...
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ROMOT: Referring-expression-comprehension open-set multi-object tracking
Traditional multi-object tracking is limited to tracking a predefined set of categories, whereas open-vocabulary tracking expands its capabilities to...
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Gaze-based predictive models of deep reading comprehension
Eye gaze patterns can reveal user attention, reading fluency, corrective responding, and other reading processes, suggesting they can be used to...
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A survey of deep learning techniques for machine reading comprehension
Reading comprehension involves the process of reading and understanding textual information in order to answer questions related to it. It finds...
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Modeling source code in bimodal for program comprehension
Source code is an intermediary through which humans communicate with computer systems. It contains a large amount of domain knowledge which can be...
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Learning to mimic programmers gaze behavior for program comprehension improvement
Gaze behavior of human coders could allow to improve programmer-aiding tools relying on program comprehension algorithms, as gaze reveals which...
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Building an adaptive test model for English reading comprehension in the context of online education
With the ongoing progress of economic globalization, international communication has witnessed a notable surge. Proficiency in English has become...
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Visualising data science workflows to support third-party notebook comprehension: an empirical study
Data science is an exploratory and iterative process that often leads to complex and unstructured code. This code is usually poorly documented and,...
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Theories and Models in Graph Comprehension
Graph comprehension is the act of deriving meaning from graphs, an activity grounded in visuospatial reasoning that develops through a combination of...
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Manufacturing domain instruction comprehension using synthetic data
Referring expression comprehension (REC) system solves a task to localize objects in a given image, based on natural language expression. We propose...
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GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks
The conversation machine comprehension (MC) task aims to answer questions in the multi-turn conversation for a single passage. However, recent...
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The effect of online oral reading on reading comprehension, reading anxiety, and classroom anxiety among EFL learners
Studies have disclosed conflicting evidence on the effect of oral reading (i.e., reading aloud in class) on various language measures. However, with...
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Improving the robustness of machine reading comprehension via contrastive learning
Pre-trained language models achieve high performance on machine reading comprehension task, but these models lack robustness and are vulnerable to...
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Question-Aware Deep Learning Model for Arabic Machine Reading Comprehension
Machine reading comprehension is one of the most long-standing challenges in artificial intelligence. It is a subtask question-answering system that...
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A think-aloud study: Exploring the effects of digital vs. print comics on reading efficiency and comprehension
Numerous researches support the widely accepted notion that the reading experience between digital and printed literature differs. This study intends...
