<html> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> <style type="text/css" style="display:none;"></style> </head> <body dir="ltr"> <div id="divtagdefaultwrapper" style="font-size:12pt;color:#000000;font-family:Calibri,Helvetica,sans-serif;" dir="ltr"> <div style="color: rgb(0, 0, 0);"> <div id="divRplyFwdMsg" dir="ltr"></div> <div class="BodyFragment"> <div class="PlainText">[Apologies for cross-posting] ***Submission deadline: August 31st, 2019*** ----------------1st CALL FOR PAPERS------------------------------------ NL4XAI @ INLG2019 1st Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI2019) 12th International Conference on Natural Language Generation (INLG2019) October 29 - November 1, Tokyo, Japan <a href="https://sites.google.com/view/nl4xai2019/" id="LPlnk120138" class="OWAAutoLink" previewremoved="true">https://sites.google.com/view/nl4xai2019/</a> This workshop will be held as part of the INLG2019 conference which is supported by the Special Interest Group on NLG of the Association for Computational Linguistics. CALL FOR PAPERS The focus of this half-day workshop is on the automatic generation of interactive explanations in natural language (NL), as humans naturally do, and as a complement to visualization tools. NL technologies, both NL Generation (NLG) and NL Processing (NLP) techniques, are expected to enhance knowledge extraction and representation through human-machine interaction (HMI). As remarked in the last challenge stated by the USA Defense Advanced Research Projects Agency (DARPA), "even though current AI systems offer many benefits in many applications, their effectiveness is limited by a lack of explanation ability when interacting with humans". Accordingly, users without a strong background on AI, require a new generation of Explainable AI systems. They are expected to naturally interact with humans, thus providing comprehensible explanations of decisions automatically made. The ultimate goal is building trustworthy AI that is beneficial to people through fairness, transparency and explainability. To achieve it, not only technical but also ethical and legal issues must be carefully considered. We solicit contributions in the form of regular papers (up to 4 pages + 1 references in the ACL paper format) or demo papers (up to 2 pages) dealing with research topics in any of the many aspects concerned with Explainable AI systems. Submissions should be made through <a href="https://easychair.org/conferences/?conf=nl4xai2019" id="LPlnk490075" class="OWAAutoLink" previewremoved="true"> https://easychair.org/conferences/?conf=nl4xai2019</a> TOPICS (include, but are not limited to) * Definitions and Theoretical Issues on Explainable AI * Interpretable Models versus Explainable AI systems * Explaining black-box models * Explaining Bayes Networks * Explaining Fuzzy Systems * Explaining Logical Formulas * Multi-modal Semantic Grounding and Model Transparency * Explainable Models for Text Production * Verbalizing Knowledge Bases * Models for Explainable Recommendations * Interpretable Machine Learning * Self-explanatory Decision-Support Systems * Explainable Agents * Argumentation Theory for Explainable AI * Natural Language Generation for Explainable AI * Interpretable Human-Machine Multi-modal Interaction * Metrics for Explainability Evaluation * Usability of Explainable AI/interfaces * Applications of Explainable AI Systems IMPORTANT DATES Tentative Title and Authors: August 15, 2019 Submissions: August 31, 2019 Notification of acceptance: October 1, 2019 Camera-ready papers: October 15, 2019 Workshop session: October 29, 2019 PUBLICATION All accepted papers will be published in the ACL Anthology. The papers will undergo a peer reviewing process by members of the workshop's program/reviewing committee, assessing their relevance and originality for the workshop. ORGANIZERS José M. Alonso (Centro Singular de Investigacion en Tecnoloxias Intelixentes (CiTIUS), University of Santiago de Compostela, Spain) Alejandro Catala (Centro Singular de Investigacion en Tecnoloxias Intelixentes (CiTIUS), University of Santiago de Compostela, Spain) PROGRAM COMMITTEE * Alberto Bugarin, CiTIUS, University of Santiago de Compostela (Spain) * Katarzyna Budzynska, Institute of Philosophy and Sociology of the Polish Academy of Sciences (Poland) * Claire Gardent, CNRS/LORIA, Nancy (France) * Albert Gatt, University of Malta (Malta) * Dirk Heylen, Human Media Interaction, University of Twente (The Netherlands) * Simon Mille, Universitat Pompeu Fabra (Spain) * Martı́n Pereira-Fariña, Institute of Heritage Sciences (Incipit), Spanish National Research Council (CSIC) (Spain) * Chris Reed, Center for Argument Technology, University of Dundee (UK) * Ehud Reiter, University of Aberdeen, Arria NLG plc. (UK) * Carles Sierra, Institute of Research on Artificial Intelligence (IIIA), Spanish National Research Council (CSIC) (Spain) * Mariët Theune, Human Media Interaction, University of Twente (The Netherlands) * Nava Tintarev, Technische University of Delft (The Netherlands) * Hitoshi Yano, Minsait, INDRA (Spain) </div> </div> </div> </div> </body> </html>