使用表格和文本混合阅读器进行多段落机器阅读理解

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-06-19 DOI:10.1080/08839514.2024.2367820

Sanghyun Cho, SeongReol Park, Hye-Lynn Kim, Jung-Hun Lee, JoongMin Shin, Hyuk-Chul Kwon

引用次数: 0

摘要

在机器阅读理解中，问题的答案可以在文本或表格中找到。以往的研究表明，针对表格的预训练语言模型在应用于机器阅读理解时表现良好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-Paragraph Machine Reading Comprehension with Hybrid Reader over Tables and Text

In machine reading comprehension, answers to questions may be found in either text or tables. Previous studies have shown that table-specific pre-trained language models perform well when applied t...

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.