Semantic Similarity

A measure of how alike two pieces of text are in meaning, independent of the specific words used. Semantic similarity is computed using embeddings — texts with similar meanings produce similar vectors, and their similarity can be measured directly in that vector space. It underpins applications like duplicate detection, paraphrase identification, and matching questions to relevant answers.