Aims and scope
The SI focuses on topics deepening the knowledge on the creative use of language. Instead of taking up basic topics from the fields of CL and NLP, such as improvement of part-of-speech tagging, we will promote research focused on such creative topics as humor processing, deceptive language processing, figurative language processing, and others for which the generally perceived state-of-the-art has not been established yet.
The SI is addressed at the audience comprised of scientists, researchers, scholars, students and practitioners performing research in the analysis or generation of language, with a specific weight put on studies focused on the creative use of language, and the creative methods for the processing of language. The Special Issue will not accept research on basic topics for which the field has been well established, such as improvement of part-of-speech tagging, etc., unless they directly contribute to the idea of creative processing of language phenomena.
List of Topics
The Special Issue will invite papers on topics listed, but not limited to the following:
l natural language processingl computational linguisticsl creative language processingl figurative language processingl NLP applicationsl natural language generationl emotional language processingl humor and joke processingl deceptive language detectionl emoticon processingl automatic cyberbullying detectionl fake news detectionl abusive language processingl story generationl poetry generation
Prospective authors should submit original manuscripts that have not appeared, nor are under consideration, in any other journal. Prospective authors are required to follow the Author’s Guide for manuscript submission to Information Processing & Management at: https://www.evise.com/profile/#/IPM/login. To ensure that all manuscripts are correctly identified for inclusion in the special issue, it is important that authors select “VSI: Creative Lang. Processing” when they reach the “Article Type Selection / Issue selection” step in the submission process. Referees will consider originality, significance, technical soundness, clarity of exposition, and relevance to the special issue topics above.
– Submission open:
October 31, 2019.
– Submission closed:
October 31, 2020
– First online
February 14, 2021
April 14, 2021
Managing Guest Editor:
● Michal Ptaszynski (Kitami Institute of Technology, email@example.com)
● Rafal Rzepka (Hokkaido University, firstname.lastname@example.org)
● Pawel Dybala (Jagiellonian University, email@example.com)
For further information, please feel free to contact the Managing Guest Editor.
Brief CV of Guest Editors
Michal Ptaszynski was born in Wroclaw, Poland in 1981. He received a Ph.D. in information science and technology from Hokkaido University, Japan in 2010. Currently, he is an associate professor at the Kitami Institute of Technology. His research interests include natural language processing, affect analysis, sentiment analysis, information retrieval, automatic cyberbullying detection, and low-resource language processing. He is a senior member of IEEE, and a member of AAAI, ACL, AAR, ANLP, JSAI, and IPSJ.
Rafal Rzepka received a master’s degree from the University of Adam Mickiewicz, Poznan, Poland in 1999 and a Ph.D. from Hokkaido University, Japan, in 2004. Currently, he is an assistant professor in the Graduate School of Information Science and Technology at Hokkaido University. His research interests include natural language processing, common sense knowledge retrieval, dialogue processing, artificial general intelligence, affect and sentiment analysis, and machine ethics. He is a member of AAAI, JSAI, JCSS, and ANLP.
Pawel Dybala received an MA degree from Jagiellonian University, Krakow, Poland, in 2006. He was a research student at Hokkaido University, Japan. Since 2007, he has been working toward the Ph.D. degree at the Graduate School of Information Science and Technology, Hokkaido University, Japan. At present he is an Assistant Professor at Jagiellonian University in Cracow, Poland, Faculty of International and Political Studies. His research interests include natural language processing, dialogue processing, humor processing, HCI, and information retrieval.