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.

中文翻译：

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NLP Scholar：自然语言处理文献的交互式视觉浏览器

作为 NLP Scholar 项目的一部分，我们通过从 ACL Anthology 和 Google Scholar 中提取和对齐信息，创建了 NLP 论文及其元信息（包括引文编号）的单一统一数据集。在本文中，我们描述了几个呈现数据各个方面的相互关联的交互式可视化（仪表板）。单击可视化中的项目或在搜索框中输入查询词会过滤仪表板中所有可视化中的数据。这允许用户搜索他们感兴趣的领域中的论文，在特定时间段内发表，由指定作者发表等。这里呈现的交互式可视化，以及映射到引文的相关论文数据集，