Your English writing platform
Discover LudwigSuggestions(5)
Exact(59)
For gene semantic similarity networks constructed using the other methods, we obtain similar results (Table 1).
Predicting Semantic Similarity Judgments From Neural Responses.
The Relative Contribution of Features and Dimensions to Semantic Similarity.
The distance (e.g. cosine) between two concepts quantifies their semantic similarity.
Resnik P. Using information content to evaluate semantic similarity in a taxonomy.
Two models are proposed: categorical similarity and semantic similarity.
Additionally, we perform an extrinsic evaluation by computing semantic similarity between words in benchmarking datasets.
A more detailed explanation of our choice of developing PrOnto rather than using existing semantic similarity measures and a comparision of PrOnto and Semantic Similarity measures are provided as a Supplementary Note 1.
poster: The Relative Contribution of Features and Dimensions to Semantic Similarity.
Semantic Similarity Judgments Exhibit Anchoring Effects When Cued Across Specific Features.
talk: Feature Ratings and Dimension-Specific Similarity Explain Distinct Aspects of Semantic Similarity.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com