CLAIJan 5, 2025

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

arXiv:2501.02546v11083 citationsh-index: 33SemEval
Originality Synthesis-oriented
AI Analysis

This is an incremental improvement for computational linguistics, addressing domain-specific WSD.

The authors tackled word sense disambiguation in a specific domain by adapting TreeMatch, a fully unsupervised system using dependency knowledge, and achieved precision above the Most Frequent Selection baseline.

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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