A Web Search Engine-Based Approach to Measure Semantic Similarity between Words

@article{Bollegala2011AWS,
  title={A Web Search Engine-Based Approach to Measure Semantic Similarity between Words},
  author={Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2011},
  volume={23},
  pages={977-990}
}
Measuring the semantic similarity between words is an important component in various tasks on the web such as relation extraction, community mining, document clustering, and automatic metadata extraction. Despite the usefulness of semantic similarity measures in these applications, accurately measuring semantic similarity between two words (or entities) remains a challenging task. We propose an empirical method to estimate semantic similarity using page counts and text snippets retrieved from a… CONTINUE READING

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