Call for Papers
NATURAL LANGUAGE PROCESSING MEETS JOURNALISM
LREC 2018 Workshop
May 12th, Miyazaki, Japan
http://nlpj2018.fbk.eu
Call for Papers
“Natural Language meets Journalism” is a workshop dedicated to the application of NLP to analysis of news. The previous edition have revealed a series of topics for which interesting and useful papers have emerged, consolidating our belief that indeed NLP can be instrumental at all levels of news creation, reading and digestion.
At this workshop we are welcoming papers exploring ways to improve the mass media process, for journalists and readers as well. We anticipate papers that report on state-of-the-art inquiries into the analysis and use of large to huge news corpora. A news corpus is generally understood as scoping over newspapers, social networks, the web, etc. The papers should present computational techniques able to manage a huge quantity of information and/or to perform deep analyses that extend over actual state of the art. We welcome reports on the recent progress on overcoming the bottlenecks in open domain relation extraction, paraphrasing, textual entailments and semantic similarity, and on their results in analyzing news content. However, we are also greatly interested in technologies for enhancing the communicative function of language in this context more generally, including in computational humor, nlp creativity for advertising, or plagiarism for example..
Topics
Advanced NLP news applications
Automatic temporal annotation
Automatic advertising and slogan generation
Causality and relatedness in news
Crowd-sourcing information gathering and reporting
Epochs and styles in journalism
Entity and event linking in social networks
Discourse similarity
Detecting patterns in developing news
Dissemination of news through social media
Fact checking on corpus extracted information
Fact Checking and Journalism Ethic
Intelligent tools for journalists, publishers, news readers
Linking multi media information
News and content recommendation and personalization
New approaches to news commenting
News summarization
Analyzing and Detecting Biased Language
Trust and credibility
Tools, Platforms and Languages by/for Journalists
Opinion changing and event drifting
Patterns and cliché detection
Plagiarism detection
Political and social discourse analysis
Predicting changes in news flow
Propagandistic style detection
Providing and encouraging information diversity
Sense and discourse shifting
Social media analytics for news
Spotting important events on social networks
Story tools and narrative frameworks
Technologies for providing context to news
Trend prediction
Important Dates
Submission date: January 28th, 2018 February 15th, 2018
Format
The LREC official format is requested. The recommended length is 4 pages, plus references. The form of the presentation maybe oral or poster, while in the proceedings there is no difference between the accepted papers.
Submission
Please submit your paper through the site: https://www.softconf.com/lrec2018/NLP4Journalism/
The submission is anonymous. Each paper will be reviewed but at least two independent reviewers.
Program Committee
Joachim Bingel, University of Copenhagen, DK
Peter Bourgonje, DFKI, DE
Tommaso Caselli, Rijksuniversiteit Groningen, NL
Maria Pia di Buono, University of Zagreb, HR
Elena Erdmann, TU Dortmund, DE
Lorenzo Gatti, FBK-irst, IT
James Hamilton, Stanford University, US
Daisuke Kawahara, Kyoto University, JP
Kristian Kersting, TU Dortmund, DE
Shervin Malmasi, Harvard University, US
Rada Mihalcea, University of Michigan, US
Preslav Nakov, Qatar Computing Research Institute, HBKU, Qatar
Vivi Nastase, University of Heidelberg, DE
Gözde Özbal, FBK-irst, IT
Dina Pisarevskaya, Russian Academy of Sciences, RU
Georg Rehm, DFKI, DE
Mattia Rigotti, IBM Research, US
Paolo Rosso, Universitat de Valencia, Spain
Anna Rumshisky, University of Massachussetts, US
Jan Šnajder, University of Zagreb, HR
Xavier Tannier, Sorbonne Université, FR
Serra Sinem Tekiroglu, FBK-irst, IT
Paola Velardi, University of Roma “La Sapienza”, IT
Ngoc Phuoc An Vo, IBM Research, US
Kun Xu, IBM Research, US
Marcos Zampieri, Saarland University, DE
Organizers
Octavian Popescu, IBM Research , US
Carlo Strapparava, FBK, Italy