NLP+CSS at EMNLP 2016

We invite research on any of the following general topics:

• • Application of NLP tools to computational social science problems

  • Predictive modeling of extra-linguistic attributes (age, gender, location, etc.)

  • NLP models that incorporate extra-linguistic social information

  • Validity and evaluation of social science methods in NLP, and vice versa

  • Privacy and ethical implications of NLP (including demographic inference)

  • Social theory in the age of big data

  • Interaction between social science theory and industry (e.g. feature engineering)

Areas of interest include all levels of linguistic analysis, network science, and the social sciences, including (but not limited to): political science, geography, public health, economics, psychology, sociology, sociolinguistics, phonology, syntax, pragmatics, and stylistics.

The workshop will consist of:

• • a doctoral consortium (and travel grants) aimed at social science graduate students,

  • invited speakers, including social scientists and industry practitioners, and

  • submitted papers, including a poster session

Submission details:

We welcome two tracks of submissions, both peer-reviewed.  Accepted papers from both tracks are invited for presentation in a shared poster session.

Archival

Archival submissions should present completed work and should adhere to the EMNLP formatting guidelines.  Long papers may contain up to eight pages of content and two pages for references; short papers may contain up to four pages of content and two pages for references. Papers submitted to this track will be published in the workshop proceedings.

For final camera-ready versions of the paper, an extra page of content may be added. (Nine pages total for long; five pages for short.) When preparing the final version, follow the "Submission Templates" from the the EMNLP formatting guidelines webpage, which have versions for for both LaTeX and MS Word. They use the required two-column layout, font sizes, and spacing. Please ask any of the organizers if you have any further questions.

Non-archival

Since many journals, especially in the social sciences, do not accept articles previously published in archived proceedings, we also solicit contributions that are non-archival as well; work submitted through this track should take the form of a one-page abstract.  (These submissions will not be published in the workshop proceedings.)

Please submit your papers to https://www.softconf.com/emnlp2016/CSS/