2016 2nd Workshop on Noisy User-generated Text (W-NUT)

December 11 2016, Osaka, Japan (last year at ACL)

We are just announcing the workshop this year will be held at COLING! We look forward to seeing you!

WNUT workshop focuses on Natural Language Processing applied to noisy user-generated text, such as that found in social media, web forums, online reviews, clinic records and language learner essays. This year, there will be two shared tasks: 1) Geolocation Prediction in Twitter and 2) Named Entity Recognition in Twitter.

Workshop Organizers

Invited Speakers

Important Dates

Call for Papers

We seek submissions of regular papers (up to 8 pages plus 2 pages of references) on original and unpublished work. 1-page abstracts on work-in-progress or work published elsewhere are also welcome and will *not* be included in the conference proceedings. All accepted submissions will be presented as posters. Additionally, selected submissions will be presented orally. The share-task participants are also encouraged (but not required) to submit system description papers and present posters; the top systems will be invited (but not required) to present orally.

Topics of interest include but are not limited to:

All submissions should conform to COLING 2016 style guidelines. Long and short paper submissions must be anonymized. Abstract submissions should include author information (and where the work was published in a footnote on front page, if applicable). Please submit your papers here (the link will become available later).

Shared task #1: Geolocation Prediction in Twitter

This new shared task focuses on the prediction of geolocation on the basis of text data (including Twitter metadata).
Task #1 Details: TBA
Registration: TBA
Evaluation Period: TBA
Contact: Bo Han

Shared task #2: Named Entity Recognition in Twitter


Task #2 Details: TBA (will be similar to last year with new data)
Registration: click here
Evaluation Period: TBA
Contacts: Benjamin Strauss and Alan Ritter

Program Committee