Mathematical Information Retrieval: Search and Question Answering

IF 8.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Richard Zanibbi, Behrooz Mansouri, Anurag Agarwal
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引用次数: 0

Abstract

Mathematical information is essential for technical work, but its creation, interpretation, and search are challenging. To help address these challenges, researchers have developed multimodal search engines and mathematical question answering systems. This monograph begins with a simple framework characterizing the information tasks that people and systems perform as we work to answer math-related questions. The framework is used to organize and relate the other core topics of the monograph, including interactions between people and systems, representing math formulas in sources, and evaluation. We close by addressing some key questions and presenting directions for future work. This monograph is intended for students, instructors, and researchers interested in systems that help us find and use mathematical information.

数学信息检索:搜索与问答
数学信息对技术工作至关重要,但它的创造、解释和搜索是具有挑战性的。为了应对这些挑战,研究人员开发了多模态搜索引擎和数学问答系统。这本专著从一个简单的框架开始,描述了人们和系统在回答数学相关问题时所执行的信息任务。该框架用于组织和关联专著的其他核心主题,包括人与系统之间的交互,表示源中的数学公式以及评估。最后,我们讨论了一些关键问题,并提出了未来工作的方向。这本专著是为学生,教师和研究人员感兴趣的系统,帮助我们找到和使用数学信息。
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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来源期刊
Foundations and Trends in Information Retrieval
Foundations and Trends in Information Retrieval COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
39.10
自引率
0.00%
发文量
3
期刊介绍: The surge in research across all domains in the past decade has resulted in a plethora of new publications, causing an exponential growth in published research. Navigating through this extensive literature and staying current has become a time-consuming challenge. While electronic publishing provides instant access to more articles than ever, discerning the essential ones for a comprehensive understanding of any topic remains an issue. To tackle this, Foundations and Trends® in Information Retrieval - FnTIR - addresses the problem by publishing high-quality survey and tutorial monographs in the field. Each issue of Foundations and Trends® in Information Retrieval - FnT IR features a 50-100 page monograph authored by research leaders, covering tutorial subjects, research retrospectives, and survey papers that provide state-of-the-art reviews within the scope of the journal.
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