Connectionists: 5th Workshop on Noisy User-generated Text at EMNLP 2019 - Call for Papers

[Xu, Wei]

5th Workshop on Noisy User-generated Text at EMNLP 2019

Call for Papers

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.

We seek submissions of regular papers on original and unpublished work (same page limit EMNLP main conference; long or short papers). 1-page abstracts on work-in-progress or work published elsewhere are also welcome and will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.

Important Dates:
- Submission Deadline: Monday, August 19
- Acceptance Notification: Monday, September 16
- Camera-Ready: Monday, September 30
- Workshop: November 3 or November 4, EMNLP (Hong Kong)

Workshop website: http://noisy-text.github.io/2019/

Submission URL: https://www.softconf.com/emnlp2019/ws-W-NUT2019/

Best paper award sponsor: Google

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
- 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 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...)

All submissions should conform to EMNLP 2019 style guidelines (https://www.emnlp-ijcnlp2019.org/calls/papers). 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 (https://www.softconf.com/emnlp2019/ws-W-NUT2019/).

Workshop Organizers:
- Alan Ritter (Ohio State University)
- Wei Xu (Ohio State University)
- Tim Baldwin (University of Melbourne)
- Afshin Rahimi (University of Melbourne)

Program Committee:
- Anietie Andy (Howard University/University of Pennsylvania)
- Isabelle Augenstein (University of Copenhagen)
- Francesco Barbieri (UPF Barcelona)
- Eduardo Blanco (University of North Texas)
- Su Lin Blodgett (UMass Amherst)
- Colin Cherry (Google Research)
- Jackie Chi Kit Cheung (McGill University)
- Paul Cook (University of New Brunswick)
- Marina Danilevsky (IBM Research)
- Leon Derczynski (IT-University of Copenhagen)
- Seza Doğruöz (Tilburg University)
- Heba Elfardy (Amazon)
- Dan Garrette (Google Research)
- Masato Hagiwara (Duolingo)
- Hua He (Amazon)
- Jing Jiang (Singapore Management University)
- Nobuhiro Kaji (Yahoo! Research)
- Emre Kiciman (Microsoft Research)
- Wuwei Lan (Ohio State University)
- Piroska Lendvai (University of Göttingen)
- Jessy Junyi Li (University of Texas Austin)
- Nut Limsopatham (University of Glasgow)
- Patrick Littell (Carnegie Mellon University)
- Zhiyuan Liu (Tsinghua University)
- Wei-Yun Ma (Academia Sinica)
- Nitin Madnani (Educational Testing Service)
- Héctor Martínez Alonso (INRIA)
- Aaron Masino (The Children's Hospital of Philadelphia)
- Chandler May (Johns Hopkins University)
- Rada Mihalcea (University of Michigan)
- Smaranda Muresan (Columbia University)
- Preslav Nakov (Qatar Computing Research Institute)
- Vincent Ng (University of Texas at Dallas)
- Eric Nichols (Honda Research Institute)
- Alice Oh (KAIST)
- Naoaki Okazaki (Tohoku University)
- Umashanthi Pavalanathan (Georgia Tech)
- Michael Paul (University of Colorado Boulder)
- Ellie Pavlick (Brown University)
- Barbara Plank (University of Groningen)
- Daniel Preoţiuc-Pietro (Bloomberg)
- Roi Reichart (Technion)
- Alla Rozovskaya (City University of New York)
- Mugizi Rwebangira (Howard University)
- Keisuke Sakaguchi (Johns Hopkins University)
- Maarten Sap (University of Washington)
- Andrew Schwartz (Stony Brook University)
- Djamé Seddah (University Paris-Sorbonne)
- Satoshi Sekine (New York University)
- Hiroyuki Shindo (NAIST)
- Thamar Solorio (University of Houston)
- Richard Sproat (Google Research)
- Ian Stewart (Georgia Tech)
- Oren Tsur (Harvard University/Northeastern University)
- Svitlana Volkova (Pacific Northwest National Laboratory)
- Byron Wallace (Northeastern University)
- Xiaojun Wan (Peking University)
- Diyi Yang (Carnegie Mellon University)
- Yi Yang (Bloomberg)
- Guido Zarrella (MITRE)
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