Word sense disambiguation (WSD) is one of the main challenges in Computational Linguistics. TreeMatch is a WSD system originally developed using data from SemEval 2007 Task 7 (Coarse-grained English All-words Task) that has been adapted for use in SemEval 2010 Task 17 (All-words Word Sense Disambiguation on a Specific Domain). The system is based on a fully unsupervised method using dependency knowledge drawn from a domain specific knowledge base that was built for this task. When evaluated on the task, the system precision performs above the Most Frequent Selection baseline.
@article{arxiv.2501.02546,
title = {TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain},
author = {Andrew Tran and Chris Bowes and David Brown and Ping Chen and Max Choly and Wei Ding},
journal= {arXiv preprint arXiv:2501.02546},
year = {2025}
}