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

As part of the NLP Scholar project, we created a single unified dataset of\nNLP papers and their meta-information (including citation numbers), by\nextracting and aligning information from the ACL Anthology and Google Scholar.\nIn this paper, we describe several interconnected interactive visualizations\n(dashboards) that present various aspects of the data. Clicking on an item\nwithin a visualization or entering query terms in the search boxes filters the\ndata in all visualizations in the dashboard. This allows users to search for\npapers in the area of their interest, published within specific time periods,\npublished by specified authors, etc. The interactive visualizations presented\nhere, and the associated dataset of papers mapped to citations, have additional\nuses as well including understanding how the field is growing (both overall and\nacross sub-areas), as well as quantifying the impact of different types of\npapers on subsequent publications.\n