# D-Bees: A Novel Method Inspired by Bee Colony Optimization for Solving Word Sense Disambiguation

arXiv: https://arxiv.org/abs/1405.1406 · HTML: https://mlsanity.com/paper/1405.1406/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 May 2014.

## Built on by (most cited first, 1 of 1)

- [A Quadratic 0-1 Programming Approach for Word Sense Disambiguation](https://mlsanity.com/paper/2201.04877/) (2022)

## Abstract (arXiv)

Word sense disambiguation (WSD) is a problem in the field of computational linguistics given as finding the intended sense of a word (or a set of words) when it is activated within a certain context. WSD was recently addressed as a combinatorial optimization problem in which the goal is to find a sequence of senses that maximize the semantic relatedness among the target words. In this article, a novel algorithm for solving the WSD problem called D-Bees is proposed which is inspired by bee colony optimization (BCO)where artificial bee agents collaborate to solve the problem. The D-Bees algorithm is evaluated on a standard dataset (SemEval 2007 coarse-grained English all-words task corpus)and is compared to simulated annealing, genetic algorithms, and two ant colony optimization techniques (ACO). It will be observed that the BCO and ACO approaches are on par.