Binary Gender Prediction From Long Texts Competition on Classification of authors' binary gender from their writing style Competition site: https://www.kaggle.com/competitions/binary-gender-prediction-from-long-textsCompetition Timeline
- February 20, 2023: Competitions are published on the website and opened to participants. - February 20, 2023: Registration for the competition. In addition to the registration on Kaggle, also fill out the registration form <https://forms.gle/LhYuGcjnYSBj5YgY6>. - February 20, 2023: Training and validation datasets are available for registered participants. - April 13, 2023: Test dataset available. - April 20, 2023,23:59 UTC: Delivery of results with a short description of the method. This competition is organized in conjunction with the 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT’23) <https://en.sce.ac.il/news/iact23>, which will be held in Taipei, Taiwan on July 27. The ability to accurately determine the binary gender of an author based on their writing style opens up a wealth of possibilities in a variety of fields. In historical document analysis, for example, researchers can gain deeper insights into the role and representation of women in different societies. In forensic investigations, this information can be used to focus the investigation on a smaller and more targeted group, thereby increasing the efficiency and effectiveness of the investigation. By participating in this competition, researchers will have the chance to contribute to this growing field and make a meaningful impact on society. Whether you're a seasoned NLP professional or just starting out, this competition presents a unique opportunity to challenge yourself and take your skills to the next level. So don't miss out on this exciting opportunity to make your mark in the world of IR. Organizers: - Marina Litvak - [email protected]; Shamoon College of Engineering Beer Sheva; Israel - Irina Rabaev - [email protected]; Shamoon College of Engineering Beer Sheva; Israel - Alípio Mário Jorge - [email protected]; University of Porto; Porto, Portugal - Ricardo Campos - [email protected]; Polytechnic Institute of Tomar INESC TEC, Portugal; Porto, Portugal - Adam Jatowt - [email protected]; University of Innsbruck; Innsbruck, Austria - Vladimir Yonkin - [email protected]; Shamoon College of Engineering, Beer Sheva, Israel -- Best regards, Marina Litvak
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