Semantic Composition

Semantic Composition is a key task in natural language processing aimed at understanding the overall semantics by combining the meanings of individual words in a text. Its core objective is to build models that can effectively capture the semantic relationships between words, thereby achieving accurate parsing of complex sentence structures. The application value of this task is extensive, including improving the quality of machine translation, enhancing the accuracy of sentiment analysis, and optimizing information retrieval effects, among others.