2018 The 4th Workshop on Noisy User-generated Text (W-NUT)
Nov 1, 2018, Brussels, Belgium (at EMNLP 2018)
The WNUT workshop focuses on Natural Language Processing applied to noisy user-generated text, such as that found in social media, online reviews, crowdsourced data, web forums, clinical records and language learner essays. The workshop hashtag is #wnut.
We again have best paper award(s) sponsored by Microsoft Research this year.
NEW! We received 44 long and short paper submissions this year.
NEW! Extended submission deadline (for 1-page abstracts only): August 15, 2018
- Submission Deadline (long & short papers):
Wednesday, July 25
- Submission Deadline (1-page unarchived abstracts): Wednesday, August 15
- Acceptance Notification: Friday, August 17
- Camera-Ready: Friday, August 31
Call for Papers
We seek submissions of
long and short papers on original and unpublished work (same page limit EMNLP main conference).
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.
Topics of interest include but are not limited to:
- NLP Preprocessing of Noisy Text
- Part of speech tagging
- Named entity tagging, including a wide range of categories, e.g. product names
- Chunking of user-generated text
- Text Normalization and Error Correction
- Normalizing noisy text for downstream tasks and for human readability
- Error detection and correction
- Multilingual NLP in noisy text
- Sentiment analysis
- Crowdsourcing of text data
- User prediction, e.g. geolocation, gender, age, etc
- Stylistics, e.g. formality, politeness, etc
- Colloquial language, e.g. code-switching, idiom detection
- Bilingual translation of the noisy text
- Paraphrase identification and semantic similarity of short text or noisy text
- Information extraction from noisy text
- Domain adaptation to user-generated text
- Geolocation prediction
- Global and regional trend detection and event extraction
- Detecting rumors, contradictory information, sarcasm and humors on social media
- Extracting user demographics, profiles, and major life events
- Temporal aspects of user-generated content (resolving time expressions, concept drift, diachronic analyses, etc...)
All submissions should conform to EMNLP 2018 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 the front page, if applicable). Please submit your papers at the SoftConf link
Double Submission Policy:
Papers that have been or will be submitted to other meetings or publications must indicate at submission time. Authors of a paper accepted for presentation must notify the workshop organizers by the camera-ready deadline as to whether the paper will be presented or withdrawn. (Exception: 1-page abstracts can be work-in-progress or work published elsewhere.)