DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension
Transactions of the Association for Computational Linguistics, 2019 We present DREAM, the first dialogue-based multiple-choice reading comprehension data set. Collected from English as a Foreign Language examinations designed by human experts to evaluate the comprehension level of Chinese learners of English, our data ...
Sun, Kai +5 more
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A Survey on Machine Reading Comprehension—Tasks, Evaluation Metrics and Benchmark Datasets
Applied Sciences, 2020 Machine Reading Comprehension (MRC) is a challenging Natural Language Processing (NLP) research field with wide real-world applications. The great progress of this field in recent years is mainly due to the emergence of large-scale datasets and deep ...
Changchang Zeng +4 more
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Machine Reading Comprehension: a Literature Review
CoRR, 2019 Machine reading comprehension aims to teach machines to understand a text like a human and is a new challenging direction in Artificial Intelligence. This article summarizes recent advances in MRC, mainly focusing on two aspects (i.e., corpus and techniques). The specific characteristics of various MRC corpus are listed and compared.
Xin Zhang +3 more
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Answer Span Correction in Machine Reading Comprehension [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 Answer validation in machine reading comprehension (MRC) consists of verifying an extracted answer against an input context and question pair. Previous work has looked at re-assessing the "answerability" of the question given the extracted answer. Here we address a different problem: the tendency of existing MRC systems to produce partially correct ...
Revanth Gangi Reddy +5 more
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Improving Machine Reading Comprehension with Multi-Task Learning and Self-Training
Mathematics, 2022 Machine Reading Comprehension (MRC) is an AI challenge that requires machines to determine the correct answer to a question based on a given passage, in which extractive MRC requires extracting an answer span to a question from a given passage, such as ...
Jianquan Ouyang, Mengen Fu
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Exploring Predictors of Reading Comprehension for Struggling Adult Readers: A Quantile Regression Approach [PDF]
, 2021 There is a paucity of research examining the skills that contribute to reading comprehension for adults who struggle with reading, which includes one in six adults in the United States (Organisation for Economic Co-operation and Development, 2013).
Talwar, Amani
core +1 more source
A Survey of Machine Narrative Reading Comprehension Assessments
, 2022 As the body of research on machine narrative comprehension grows, there is a critical need for consideration of performance assessment strategies as well as the depth and scope of different benchmark tasks.
Jing Li +9 more
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Mixed inference machine reading comprehension method based on symbolic logic
Intelligent Systems with ApplicationsWith the rapid development of machine learning, challenging question and answer datasets have also emerged, and the machine reading comprehension technology has emerged.
Duanduan Liu
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Machine translation output assessment and its impact on reading comprehension [PDF]
Fanāvarī-i āmūzish, 2020 Background and Objectives: Machine translation is now widely used everywhere; However, its role as a language learning tool has not been confirmed, as there are concerns about its quality.
V.R. Mirzaeian
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Enhancing Reading Comprehension for Secondary Students — Part II [PDF]
, 2003 Enhancing Reading Comprehension for Secondary Students — Part II ...
The Meadows Center for Preventing Educational Risk +1 more
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