# Duluth at SemEval--2016 Task 14 : Extending Gloss Overlaps to Enrich Semantic Taxonomies

## TL;DR

This paper presents Duluth systems that enhance semantic taxonomies by identifying synonyms through gloss overlaps, demonstrating improved performance over baselines in SemEval 2016's taxonomy enrichment task.

## Contribution

The paper introduces systems that extend semantic taxonomies by leveraging gloss overlaps to identify synonyms, improving upon baseline methods in taxonomy enrichment.

## Key findings

- Systems outperform random baseline
- Post-evaluation variation close to median results
- Effective use of gloss overlaps for synonym detection

## Abstract

This paper describes the Duluth systems that participated in Task 14 of SemEval 2016, Semantic Taxonomy Enrichment. There were three related systems in the formal evaluation which are discussed here, along with numerous post--evaluation runs. All of these systems identified synonyms between WordNet and other dictionaries by measuring the gloss overlaps between them. These systems perform better than the random baseline and one post--evaluation variation was within a respectable margin of the median result attained by all participating systems.