Call for Papers: The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT’23) The workshop will be held in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Workshop website: https://en.sce.ac.il/news/iact23 July 27, 2023. Taipei, Taiwan. Paper submission deadline: April 25, 2023, AoE Submission link: https://easychair.org/conferences/?conf=iact23

To bring the research community's attention to the limitations of current models at capturing the hidden author characteristics from texts, we organize the first edition of IACT workshops under the umbrella of the SIGIR conference. Research works submitted to the workshop should foster the scientific advance on all aspects of implicit author information extraction from text.

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: Research papers: up to 8 pages. Original and high-quality unpublished contributions to the theory and practical aspects of the implicit author characterization task. Full papers should introduce existing approaches and describe the methodology and the experiments conducted in detail. Negative result papers highlighting tested hypotheses that did not get the expected outcome are also welcomed. Shared task papers up to 5 pages.

The submissions must be anonymous and will be peer-reviewed by at least two program committee members.

Papers must be submitted electronically in PDF format through EasyChair https://easychair.org/conferences/?conf=iact23. All submissions must be in English and formatted according to the one-column CEUR-ART style with no page numbers. Templates in Word or LaTeX can be found in the following zip folder at http://ceur-ws.org/Vol-XXX/CEURART.zip. There is also an Overleaf page https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/hpvjjzhjxzjk for LaTeX users.

Research works submitted to the workshop should foster the scientific advance on all aspects of implicit author information extraction from text, including but not limited to the following:

- Query understanding - Personalized information search and retrieval - Demographics (gender, age, location, etc.) prediction and analysis - Profiling protagonists - Multi-modal, multi-genre, and multilingual author analysis - Detecting implicit expressions of sentiment, emotion, opinion, and bias - Transfer learning for implicit author characterization - Implicit author profiling annotation schema - Evaluation of implicit author profiling - Differentiation between AI-generated content and human-generated content and bot profiling - Author profiling in low-resource languages and under-studied domains - Exploration of the relations between self-reported or binary gender identity and implicit personality traits - Mental disorders and risk prediction - Author identification and verification

Organizing Committee:

- Marina Litvak - marinal@ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel - Irina Rabaev - irinar@ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel - Alípio Mário Jorge - amjorge@fc.up.pt; University of Porto; Porto, Portugal - Ricardo Campos - ricardo.campos@ipt.pt; Polytechnic Institute of Tomar INESC TEC, Portugal; Porto, Portugal - Adam Jatowt - adam.jatowt@uibk.ac.at; University of Innsbruck; Innsbruck, Austria

Invited Speakers:

- Prof. Mark Last - Ben-Gurion University of the Negev, Israel - Prof. Dr. Valia Kordoni - Humboldt-Universität Berlin, Germany

IACT’23 proceedings will be published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they do not conflict with previous publication rights.

Contact:

- Dr. Marina Litvak: litvak.marina@gmail.com - Dr. Irina Rabaev: irinar@ac.sce.ac.il

-- Best regards, Marina Litvak