<html> <head> <meta http-equiv="Content-Type" content="text/html; charset=windows-1258"> <style type="text/css" style="display:none;"> P {margin-top:0;margin-bottom:0;} </style> </head> <body dir="ltr"> [Apologies for cross-posting] <div><br> </div> <div>***Submission deadline: October 15th, 2020 (there will be no further extensions)***</div> <div><br> </div> <div>----------------2nd CALL FOR PAPERS------------------------------------</div> <div><br> </div> <div>NL4XAI @ INLG2020</div> <div>2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI2020)</div> <div>December 15 - 18, Dublin, Ireland</div> <div><br> </div> <div><a href="https://sites.google.com/view/nl4xai2020" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable">https://sites.google.com/view/nl4xai2020</a> <br> </div> <div><br> </div> <div>This workshop will be held as part of the 13th International Conference on Natural Language Generation (INLG2020), which is supported by the Special Interest Group on NLG of the Association for Computational Linguistics. INLG2020 was to be held in Dublin (Ireland), 15 - 18 December, 2020.</div> <div>However, due to covid-19 it is arranged fully online in a virtual format.</div> <div><br> </div> <div>CALL FOR PAPERS</div> <div><br> </div> <div>The focus of this 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.</div> <div><br> </div> <div>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.</div> <div><br> </div> <div>Submissions should be made through <a href="https://easychair.org/conferences/?conf=nl4xai2020" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable"> https://easychair.org/conferences/?conf=nl4xai2020</a> <br> </div> <div><br> </div> <div>TOPICS (include, but are not limited to)</div> <div>+ Definitions and Theoretical Issues on Explainable AI</div> <div>+ Interpretable Models versus Explainable AI systems</div> <div>+ Explaining black-box models</div> <div>+ Explaining Bayes Networks</div> <div>+ Explaining Fuzzy Systems</div> <div>+ Explaining Logical Formulas</div> <div>+ Multi-modal Semantic Grounding and Model Transparency</div> <div>+ Explainable Models for Text Production</div> <div>+ Verbalizing Knowledge Bases</div> <div>+ Models for Explainable Recommendations</div> <div>+ Interpretable Machine Learning</div> <div>+ Self-explanatory Decision-Support Systems</div> <div>+ Explainable Agents</div> <div>+ Argumentation Theory for Explainable AI</div> <div>+ Natural Language Generation for Explainable AI</div> <div>+ Interpretable Human-Machine Multi-modal Interaction</div> <div>+ Metrics for Explainability Evaluation</div> <div>+ Usability of Explainable AI/interfaces</div> <div>+ Applications of Explainable AI Systems</div> <div><br> </div> <div>IMPORTANT DATES</div> <div><br> </div> <div>Submissions: October 15, 2020</div> <div>Notification of acceptance: November 15, 2020</div> <div>Camera-ready papers: December 8, 2020</div> <div>Workshop session: 18 December 2020</div> <div><br> </div> <div>PUBLICATION</div> <div>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.</div> <div><br> </div> <div>ORGANIZERS</div> <div>José M. Alonso (Centro Singular de Investigacion en Tecnoloxias Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Spain)</div> <div>Alejandro Catala (Centro Singular de Investigacion en Tecnoloxias Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Spain)</div> <div><br> </div> <div>PROGRAM COMMITTEE</div> <div>+ Alberto Bugarin, CiTIUS, Universidade de Santiago de Compostela</div> <div>+ Katarzyna Budzynska, Institute of Philosophy and Sociology of the Polish Academy of Sciences</div> <div>+ Claire Gardent, CNRS-LORIA </div> <div>+ Pablo Gamallo, CiTIUS, Universidade de Santiago de Compostela</div> <div>+ Marcin Koszowy, Warsaw University of Technology</div> <div>+ Simon Mille, Universitat Pompeu Fabra</div> <div>+ Nir Oren, University of Aberdeen</div> <div>+ Martiìn Pereira-Fariña, Universidade de Santiago de Compostela</div> <div>+ Ehud Reiter, University of Aberdeen, Arria NLG plc.</div> <div>+ Carles Sierra, Institute of Research on Artificial Intelligence (IIIA), Spanish National Research Council (CSIC)</div> <div>+ Mariët Theune, Human Media Interaction, University of Twente </div> </body> </html>