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Semantic Similarity

Language Modelling › Sentence Pair Modeling › Semantic Similarity 21 평가 기록 28 datasets

The main objective Semantic Similarity is to measure the distance between the semantic meanings of a pair of words, phrases, sentences, or documents. For example, the word “car” is more similar to “bus” than it is to “cat”. The two main approaches to measuring Semantic Similarity are knowledge-based approaches and corpus-based, distributional methods.

<span class="description-source">Source: Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection </span>

논문

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1506.06726 2015-06-22 이 페이지의 평가 1건
MSE: 0.2687Pearson Correlation: 0.8584Spearman Correlation: 0.7916