Connectionists: EMNLP 2019 Workshop on Noisy User-generated Text (submission deadline extended)

Xu, Wei weixu at cse.ohio-state.edu
Fri Aug 16 13:54:41 EDT 2019


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

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


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We seek submissions of regular papers on original and unpublished work (same page limit EMNLP main conference; long or short papers). 1-page abstracts on work-in-progress or work published elsewhere are also welcome and will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:
- Extended Submission Deadline: Wednesday, August 21 (anywhere on earth)
- Acceptance Notification: Monday, September 16
- Camera-Ready: Monday, September 30
- Workshop: November 3 or November 4, EMNLP (Hong Kong)


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:
- Muhammad Abdul-Mageed (University of British Columbia)
- Željko Agić (Corti)
- Hadi Amiri (Harvard University)
- Eiji Aramaki (NAIST)
- Roy Bar-Haim (IBM)
- Francesco Barbieri (UPF Barcelona)
- Cosmin Bejan (Vanderbilt University)
- Eric Bell (PNNL)
- Adrian Benton (JHU)
- Eduardo Blanco (University of North Texas)
- Su Lin Blodgett (UMass Amherst)
- Matko Bošnjak (University College London)
- Julian Brooke (University of Melbourne)
- Annabelle Carrell (JHU)
- Xilun Chen (Cornell University)
- Anne Cocos (University of Pennsylvania)
- Arman Cohan (AI2)
- Nigel Collier (University of Cambridge)
- Paul Cook (University of New Brunswick)
- Marina Danilevsky (IBM Research)
- Leon Derczynski (IT-University of Copenhagen)
- Seza Doğruöz (Tilburg University)
- Eduard Dragut (Temple University)
- Xinya Du (Cornell University)
- Heba Elfardy (Amazon)
- Micha Elsner (Ohio State University)
- Manaal Faruqui (Google)
- Lisheng Fu (New York University)
- Dan Garrette (Google Research)
- Kevin Gimpel (TTIC)
- Dan Goldwasser (Purdue University)
- Amit Goyal (Criteo)
- Nizar Habash (NYU Abu Dhabi)
- Masato Hagiwara (Duolingo)
- Bo Han (Kaplan)
- Abe Handler (University of Massachusetts Amherst)
- Jack Hessel (Cornell University)
- Dirk Hovy (Bocconi University)
- Kenny Joseph (University at Buffalo)
- David Jurgens (University of Michigan)
- Nobuhiro Kaji (Yahoo! Research)
- Pallika Kanani (Oracle)
- Emre Kiciman (Microsoft Research)
- Svetlana Kiritchenko (National Research Council Canada)
- Roman Klinger (University of Stuttgart)
- Ekaterina Kochmar (University of Cambridge)
- Vivek Kulkarni (University of California Santa Barbara)
- Jonathan Kummerfeld (University of Michigan)
- Wuwei Lan (Ohio State University)
- Chen Li (Tencent)
- Jing Li (Tencent AI)
- Jessy Junyi Li (University of Texas Austin)
- Nut Limsopatham (University of Glasgow)
- Patrick Littell (National Research Council Canada)
- Zhiyuan Liu (Tsinghua University)
- Nikola Ljubešić (University of Zagreb)
- Wei-Yun Ma (Academia Sinica)
- Mounica Maddela (Ohio State University)
- Aaron Masino (The Children's Hospital of Philadelphia)
- Chandler May (Johns Hopkins University)
- Paul Michel (CMU)
- Shachar Mirkin (Xerox Research)
- Saif M. Mohammad (National Research Council Canada)
- Ahmed Mourad (RMIT University)
- Günter Neumann (DFKI)
- Vincent Ng (University of Texas at Dallas)
- Eric Nichols (Honda Research Institute)
- Alice Oh (KAIST)
- Naoki Otani (CMU)
- Patrick Pantel (Microsoft Research)
- Umashanthi Pavalanathan (Georgia Tech)
- Barbara Plank (University of Groningen)
- Christopher Potts (Stanford University)
- Daniel Preoţiuc-Pietro (Bloomberg)
- Chris Quirk (Microsoft Research)
- Preethi Raghavan (IBM Research)
- Revanth Rameshkumar (Microsoft)
- Marek Rei (University of Cambridge)
- Roi Reichart (Technion)
- Adithya Renduchintala (JHU)
- Carolyn Penstein Rose (CMU)
- Alla Rozovskaya (City University of New York)
- Keisuke Sakaguchi (Johns Hopkins University)
- Maarten Sap (University of Washington)
- Natalie Schluter (IT University of Copenhagen)
- Andrew Schwartz (Stony Brook University)
- Djamé Seddah (University Paris-Sorbonne)
- Dan Simonson (BlackBoiler)
- Jan Šnajder (University of Zagreb)
- Gabriel Stanovsky (AI2)
- Ian Stewart (Georgia Tech)
- Jeniya Tabassum (Ohio State University)
- Joel Tetreault (Grammarly)
- Sara Tonelli (FBK)
- Rob van der Goot (University of Groningen)
- Rob Voigt (Stanford University)
- Byron Wallace (Northeastern University)
- Xiaojun Wan (Peking University)
- Zeerak Waseem (University of Sheffield)
- Zhongyu Wei (Fudan University)
- Diyi Yang (Georgia Tech)
- Yi Yang (ASAPP)
- Guido Zarrella (MITRE)
- Justine Zhang (Cornell University)
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