Libraries are at the heart of our society and education, so we believe in driving technological innovation in these age-old institutions as well as modern digital libraries when we can! If you're passionate about bringing AI and LLMs into library workflows, join computer science researchers and AI enthusiasts worldwide in the LLMs4Subjects shared task!
*We are excited to announce the 2nd Call for Participation to the LLMs4Subjects Shared Task organized as part of SemEval 2025.*
*Overview:* As the first of its kind, LLMs4Subjects invites the research community to *develop cutting-edge LLM-based semantic solutions for the subject tagging of the Leibniz University's Technical Library's open-access collection*. The shared task provides an opportunity for the research community to creatively utilize LLMs for subject tagging of technical records. *Systems need to demonstrate bilingual language modeling in understanding technical documents in both German and English.* Moreover, successful solutions may be directly integrated into the operational workflows of the TIB Leibniz Information Centre for Science and Technology University Library.
*What we provide to participants:* a human-readable form of a subject's taxonomy (this is the *GND* or *Gemeinsame Normdatei*, the integrated authority file used for cataloging in German-speaking countries) and a large collection of technical records tagged with these subjects from the TIB's open-access collection called *TIBKAT*.
More details on the task website: https://sites.google.com/view/llms4subjects/
*LLMs4Subjects defines the following three tasks:*
- Task 1: Learn the GND - Task 2: Align subject tagging to the TIBKAT collection - (Optional and Fun) Task 3: Develop Elegant Frontend Interfaces for Subject Tagging
*LLMs4Subjects will have three separate evaluations:*
- Evaluation 1: Quantitative Metrics-based Evaluations - Evaluation 2: Qualitative Evaluations by the Human Subject Specialists - (Optional) Evaluation 3: HCI evaluations for subject indexing interfaces submitted
*To participate in the LLMs4Subjects shared task,*
1. please submit your interest to participate using our online form ( https://forms.gle/YQzupcoySAyJi45c6), 2. sign up to the shared task Google Groups ( https://groups.google.com/u/6/g/llms4subjects) for FAQs, news, and announcements, and, 3. last but not the least, download the datasets ( https://github.com/jd-coderepos/llms4subjects/) to begin development.
*Dates*
Training and validation datasets available:October 2, 2024 Test data available/Evaluation starts: January 10, 2025 Evaluation ends: January 31, 2025 Participant paper submissions due: February 28, 2025 Notification to authors: March 31, 2025 Camera ready due: April 21, 2025 SemEval workshop: TBD
*Task Organizers*
Jennifer D'Souza, Sameer Sadruddin, Holger Israel, Mathias Begoin et al. All organizers are affiliated with the TIB Leibniz Information Centre for Science and Technology - Germany (https://www.tib.eu/en/)
*We look forward to having you on board!*
*Contact: *llms4subjects [at] gmail.com