Results 41 to 50 of about 8,093 (292)
FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning
Applied Sciences, 2022 Machine reading comprehension (MRC) of text data is a challenging task in Natural Language Processing (NLP), with a lot of ongoing research fueled by the release of the Stanford Question Answering Dataset (SQuAD) and Conversational Question Answering ...
Addi Ait-Mlouk +3 more
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Answer Extraction Method for Reading Comprehension Based on Frame Semantics and GraphStructure [PDF]
Jisuanji kexue, 2023 Machine reading comprehension is one of the most challenging tasks in the field of natural language processing.With the continuous development of deep learning technology and the release of large-scale MRC datasets,the performance of MRC models keep ...
YANG Zhizhuo, XU Lingling, Zhang Hu, LI Ru
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Benchmarking Machine Translation Efficacy for Teaching EAP Reading Comprehension Skills [PDF]
Fanāvarī-i āmūzish, 2023 Background and Objectives: Although Machine Translation (MT) is extensively researched within the field of Artificial Intelligence (AI) and translation studies, few studies have attempted to implement MT output in foreign language teaching (FLT).
V. Mirzaeian, M. Maghsoudi
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Early predictors of phonological and morphological awareness and the link with reading : evidence from children with different patterns of early deficit [PDF]
, 2015 This study examines the contribution of early phonological processing (PP) and language skills on later phonological awareness (PA) and morphological awareness (MA), as well as the links among PA, MA, and reading.
Carroll, Julia M. +3 more
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A Survey on Neural Machine Reading Comprehension
CoRR, 2019 Enabling a machine to read and comprehend the natural language documents so that it can answer some questions remains an elusive challenge. In recent years, the popularity of deep learning and the establishment of large-scale datasets have both promoted the prosperity of Machine Reading Comprehension.
Boyu Qiu +3 more
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Improving Machine Reading Comprehension with General Reading Strategies [PDF]
Proceedings of the 2019 Conference of the North, 2019 Reading strategies have been shown to improve comprehension levels, especially for readers lacking adequate prior knowledge. Just as the process of knowledge accumulation is time-consuming for human readers, it is resource-demanding to impart rich general domain knowledge into a deep language model via pre-training.
Kai Sun 0006 +3 more
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Applied Sciences, 2022 Machine reading comprehension (MRC) is an important research topic in the field of Natural Language Processing (NLP). However, traditional MRC models often face challenges of information loss, lack of capability to retain long-distance dependence, and ...
Nawei Shi +2 more
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Artificial intelligence (machine learning) in the psychology of learning: Unveiling new insights and directions [PDF]
مجله علوم روانشناختی, 2023 Background: The intersection of artificial intelligence (AI), psychology and applied linguistics particularly in the realm of language learning, has opened up a fascinating avenue for exploring the intricate processes and mechanisms underlying human ...
Nora Darjazini +3 more
doaj
A Densely Connected Encoder Stack Approach for Multi-type Legal Machine Reading Comprehension
, 2020 Legal machine reading comprehension (MRC) is becoming increasingly important as the number of legal documents rapidly grows. Currently, the main approach of MRC is the deep neural network based model which learns multi-level semantic information with ...
Li, Lin +5 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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