Semantic Similarity

Semantic similarity is one of the core tasks in natural language processing, aiming to quantify the semantic distance between words, phrases, sentences, or documents. This task is achieved through knowledge-based methods and corpus-based distribution methods, and has significant application value, such as in information retrieval, machine translation, and text classification.