NLP Scholar: An Interactive Visualization to Explore NLP Papers v2

See latest version (v4) here.

Papers are taken from the ACL Anthology. Citation information is taken from Google Scholar author profiles (date of extraction: June 2019). Details about the NLP Scholar Data, caveats and limitations, and the datsaet itself are available from the NLP Scholar Project Home Page. This is a beta release and more of a research prototype than a formal product for public use. The nature of automatic extraction and processing entails some amount of errors.

NLP Scholar Project Home Page

Contact: Saif M. Mohammad (uvgotsaif@gmail.com, saif.mohammad@nrc-cnrc.gc.ca)

Note that the online demo is somewhat slow to respond due to the limitations of the Tableau Public server, the large number of rows, and multiple search filters. Thus, please expect to wait a few seconds after clicking on an element before the visualization is re-rendered with the appropriate filtration. You can also:

• go here for a markedly more responsive demo.
  
  
• Or, download the source NLP Scholar Demo file and open it with the free Tableau Reader on your computer for the most responsive interaction.

Paper

Details of the visualization are available in this paper:

NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature. Saif M. Mohammad. In Proceedings of the 58th Annual Meeting of the Association of Computational Linguistics (ACL-2020). July 2020. Seattle, USA.
Paper (pdf)    Presentation

• BibTeX:

  @inproceedings{mohammad2020demo,
     title={NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature},
     author={Mohammad, Saif M.},
     booktitle={Proceedings of the 2020 annual conference of the association for computational linguistics},
     address={Seattle, USA},
     year={2020} }

Please cite the above paper if you use the visualization or screenshots from it.

Notes and Tips for Using the Interactive Visualization Dashboard

• Click on the tabs at the top to explore different dashboards.
  
  
  • 'Main' has visual elements A through E.
    
    
  • Three other dashboards include a sixth element F1, F2, and F3 for focused searches on 'paper type and venue', 'title unigram', and 'title bigram', respectively.
    
    
  • Tabs with 'Select' in the title show example interactions (selections).
  
  
• Clicking on a visual element filters the data in all visualuzations of the dashboard.
  
  
• Clicking again deleselects the item (resets the filter). You can also press Escape or click on the Undo button on the bottom right.
  
  
• Clicking on multiple elements (including use of sliders) causes all of the corresponding filters to be applied (ANDing). For example, clicking on "ACL" and 2010 will show all ACL papers from 2010.
  
  
• Multiple terms can be selected through the search boxes for Unigram, Bigram, and Author. Entering multiple terms in the unigram search box will restrict the data to all papers that have at least one of the terms in the title.
  
  
• In B2, the colored segments correspond to individual papers. The height of a segment is proportional to the number of citations the paper has received. Clicking on a segment takes one to the landing page for the paper in the ACL Anthology. You can access the pdf, BibTeX, abstract, etc. from there.
  
  
• Citation information is from June 2019. Further, the citation numbers listed next to authors corresponds to the citations of their ACL Anthology papers (and not all of their papers).
  
  
• Reset all filters by clicking on the Reset button on the bottom right or reloading the page.