EMNLP 2017 WASSA 2017
8th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
To be held in conjuntion with the EMNLP 2017 Conference
· Tasks
· Venue

European Commission Joint Research Centre



SUBMISSIONS

At WASSA 2017, we will accept two types of submissions: long and short papers. Papers which describe submissions to one of the two tasks will also be included in the proceedings.

  • Long papers

    Long papers may consist of up to eight (8) pages of content, with two (2) additional pages of references, and will be presented orally.

  • Short papers

    Short papers may consist of up to five (5) pages of content, and two (2) additional pages of references. The following types of papers are appropriate for a short paper submission:
    1. A paper describing the demonstration of a system
    2. A small, focused contribution
    3. Work in progress
    4. A negative result
    5. An opinion piece
    6. An interesting application nugget
    Short papers will be presented either orally or as a poster. The choice of presentation will be given not based on the quality of the submission, but on the PC's recommendation relating to the most suitable presentation method.

Papers for WASSA should be submitted using the EMNLP 2017 Style Files, available at: hhttp://emnlp2017.net/call-for-papers.html

Reviewing for WASSA 2017 will be blind: reviewers will not be presented with the identity of paper authors. Authors should avoid writing anything that makes their identity obvious in the text.

Submissions should be original, and in particular should not previously have been formally published.

Accepted papers will be published in the EMNLP WASSA proceedings, with ISBN. The best papers will be chosen for a special issue of an ISI-indexed journal (to be confirmed). Past editions special issues include the Decision Support Systems journal (Elsevier) and Computer Speech and Language journal (Elsevier), Information Processing and Management (Elsevier).

To submit a paper, please access the WASSA 2017 submission link:

https://www.softconf.com/emnlp2017/wassa2017/
 
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