Advisory Board and Editors Computational Linguistics

Author Instructions Factsheet
Journal Factsheet
A one-page PDF to help when considering journal options with co-authors
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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
PeerJ Author
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Shravan Vasishth

Professor of Psycholinguistics at the Department of Linguistics, University of Potsdam, Germany. Specialization in computational models of sentence comprehension; sentence processing in aphasia; working memory and language comprehension; Bayesian statistics.

Artificial Intelligence Computational Linguistics Data Mining & Machine Learning Data Science Natural Language & Speech Psychiatry & Psychology Statistics
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Lexing Xie

Lexing Xie is Professor in the Research School of Computer Science at the Australian National University. She leads the ANU Computational Media lab (http://cm.cecs.anu.edu.au/). Her current research interests are in machine learning on graphs and time series, especially on understanding individual and aggregate behaviour in online social networks, at the intersection of media, language and behaviour. She was research staff member at IBM T J Watson Research Center 2005-2010. She is Associate editor for ACM TOIS, ACM TiiS and PeerJ CS.

Computational Linguistics Computer Vision Data Mining & Machine Learning Data Science Multimedia Natural Language & Speech Network Science & Online Social Networks Optimization Theory & Computation Social Computing World Wide Web & Web Science
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Arkaitz Zubiaga

I'm a senior lecturer (associate professor) at Queen Mary University of London. My research revolves around Social Data Science, interdisciplinary research bridging NLP and Computational Social Science. I'm particularly interested in linking online data with events in the real world, among others for tackling problematic issues on the Web and social media that can have a damaging effect on individuals or society at large, such as hate speech, misinformation and inequality.

Computational Linguistics Data Mining & Machine Learning Data Science Human-Computer Interaction Natural Language & Speech Network Science & Online Social Networks Sentiment Analysis Social Computing Text Mining World Wide Web & Web Science