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A Comprehensive Survey on Multi-hop Machine Reading Comprehension Datasets and Metrics | ||
| Journal of Computing and Security | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 10 تیر 1404 | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22108/jcs.2025.143323.1153 | ||
| نویسندگان | ||
| Azade Mohammadi1؛ Reza Ramezani* 2 | ||
| 1Department of Software Engineering, Faculty of Computer Engineering, University of Isfahan, Iran | ||
| 2Department of Software Engineering, Faculty of Computer Engineering, University of Isfahan | ||
| چکیده | ||
| Abstract: Multi-hop Machine reading comprehension is a challenge field in natural language processing and its goal is to find the answer of questions based on disjoint pieces of information in a natural language context. Due to the complexity and importance of this field, a large number of studies have been focused on multi-hop Machine Reading Comprehension recently. Then it is necessary and worth reviewing them in detail. Since datasets and evaluation metrics play a crucial and important role in the progress of research in this field, this study aims to present a comprehensive survey on recent advances in multi-hop Machine Reading Comprehension evaluation metrics and datasets. In this regard, the existing multi-hop Machine Reading Comprehension evaluation metrics and datasets are reviewed from 2017 to 2024, and a comprehensive analysis in different aspects has been prepared at the end. Also, open issues in this field have been discussed for future work. | ||
| کلیدواژه‌ها | ||
| Multi-hop Machine Reading Comprehension؛ Multi-hop Machine Reading Comprehension Dataset؛ Natural Language Processing | ||
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آمار تعداد مشاهده مقاله: 10 |
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