SemEval 2022 Task 12: Symlink - Linking Mathematical Symbols to their Descriptions
Viet Dac Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) · 2022
We describe Symlink, a SemEval shared task of extracting mathematical symbols and their descriptions from LaTeX source of scientific documents.This is a new task in SemEval 2022, which attracted 180 individual registrations and 59 final submissions from 7 participant teams.We expect the data developed for this task and the findings reported to be valuable for the scientific knowledge extraction and automated knowledge base construction communities.The data used in this task is publicly accessible at https://github. com/nlp-uoregon/symlink.