Call for Papers


LREC 2018 Workshop

May 12th, Miyazaki, Japan

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..


  • 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


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.


Please submit your paper through the site:

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


  • Octavian Popescu, IBM Research , US

  • Carlo Strapparava, FBK, Italy