WINGNUS: Keyphrase extraction utilizing document logical structure
Thuy Nguyen · Meeting of the Association for Computational Linguistics · 2025
We present a system description of the WINGNUS team work for the SemEval-2010 task #5 Automatic Keyphrase Extraction from Scientific Articles. A key feature of our system is that it utilizes an inferred document logical structure in our candidate identification process, to limit the number of phrases in the candidate list, while maintaining its coverage of important phrases. Our top performing system achieves an F1 of 25.22% for the combined keyphrases (author and reader assigned) in the final test data. We note that the method we report here is novel and orthogonal from other systems, so it can be combined with other techniques to potentially achieve higher performance.