Semantic Similarity
13 benchmarks1564 papers
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>