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Semantic Similarity
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>
데이터셋
28개Annotated corpus for semantic similarity of clinical trial outcomes (expanded corpus)Annotated corpus for semantic similarity of clinical trial outcomes (original corpus)SICKBIOSSESCHIP-STSClinicalSTSMedSTSJSTSMNISTUnknowndev evaluationsts devsts dev 128sts dev 256sts dev 512sts dev 64sts dev 768sts test 128sts test 256sts test 512sts test 64sts test 768sts17 en uasts17 es en teststs17 ua uastsb multi mt enstsb trtest t