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arXiv · 2501.02546

TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain

Andrew Tran·Chris Bowes·David Brown·Ping Chen·Max Choly·Wei Ding
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Abstract

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.

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Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding. 2025-01-05. TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain. https://arxiv.org/abs/2501.02546

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