WNUT 2020 : The 6th Workshop on Noisy User-generated Text

We seek submissions of long and short papers on original and unpublished work (same page limit EMNLP main conference). 1-page abstracts on work-in-progress or work published elsewhere are also welcome and will *not* be included in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
  • Parsing
• Text Normalization and Error Correction
  • Normalizing noisy text for downstream tasks and for human readability
  • Error detection and correction
• Robustness to Noise, both Natural and Adversarial
• Multilingual NLP in noisy text
• Machine Translation of Noisy Text
• Sentiment analysis
• Crowdsourcing of text data
• User prediction, e.g. 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 humor 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...)