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W-NUT 2018 : The 4th Workshop on Noisy User-generated Text


When Oct 31, 2018 - Nov 1, 2018
Where Brussels, Belgium
Submission Deadline Jul 20, 2018
Notification Due Aug 17, 2018
Final Version Due Aug 31, 2018

Call For Papers

Call for Papers

We seek submissions of regular papers on original and unpublished work (same page limit EMNLP main conference). 1-page abstracts on work-in-progress or work published elsewhere are also welcome and will *not* be included in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

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.

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)
* Yulan He (Aston University)
* 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)
* Maria Liakata (University of Warwick)
* 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)
* Michael Paul (University of Colorado Boulder)
* Umashanthi Pavalanathan (Georgia Tech)
* 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)

Related Resources

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IUI 2021   ACM Conference on Intelligent User Interfaces
U2BigData 2020   User Understanding from Big Data Workshop - in conjunction with IEEE Big Data 2020
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IJNGN 2020   International Journal of Next - Generation Networks
DLRS 2021   Call for Papers: Topical Issue on Deep Learning for Recommender Systems
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UIST 2020   ACM Symposium on User Interface Software and Technology