Semantic Dependency Parsing

Semantic Dependency Parsing is an important task in natural language processing that aims to identify semantic relationships between words in text through graph structures. The goal of this task is to build a parser that can accurately capture the dependency relations among words, thereby revealing the deep semantic structure of sentences. Its application value lies in enhancing the performance of areas such as machine translation, sentiment analysis, and question answering systems, providing support for deeper language understanding and generation.