论文标题
NLP学者：自然语言处理文献的互动视觉探索器
NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature
论文作者
论文摘要
作为NLP Scholar项目的一部分，我们通过从ACL选集和Google Scholar中提取和调整信息来创建一个NLP论文及其元信息（包括引文编号）的单一统一数据集（包括引用编号）。在本文中，我们描述了一些呈现数据的各个方面的相互联系的交互式可视化（仪表板）。在搜索框中单击可视化或输入查询项中的项目，以仪表板中的所有可视化中的数据过滤数据。这使用户可以在其感兴趣的领域中搜索论文，并在特定时间段内发表，由指定作者出版等。此处介绍的交互式可视化以及映射到引用的论文数据集以及其他用途以及了解该领域的增长（包括整体和跨各个区域）的增长方式（整体和跨亚地区），以及量化不同类型的纸张出版物的影响。
As part of the NLP Scholar project, we created a single unified dataset of NLP papers and their meta-information (including citation numbers), by extracting and aligning information from the ACL Anthology and Google Scholar. In this paper, we describe several interconnected interactive visualizations (dashboards) that present various aspects of the data. Clicking on an item within a visualization or entering query terms in the search boxes filters the data in all visualizations in the dashboard. This allows users to search for papers in the area of their interest, published within specific time periods, published by specified authors, etc. The interactive visualizations presented here, and the associated dataset of papers mapped to citations, have additional uses as well including understanding how the field is growing (both overall and across sub-areas), as well as quantifying the impact of different types of papers on subsequent publications.
