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As part of the NLP Scholar project, we created a single unified dataset ofNLP papers and their meta-information (including citation numbers), byextracting 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 itemwithin a visualization or entering query terms in the search boxes filters thedata in all visualizations in the dashboard. This allows users to search forpapers in the area of their interest, published within specific time periods,published by specified authors, etc. The interactive visualizations presentedhere, and the associated dataset of papers mapped to citations, have additionaluses as well including understanding how the field is growing (both overall andacross sub-areas), as well as quantifying the impact of different types ofpapers on subsequent publications.

NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature