Unsupervised Dependency Parsing

Unsupervised dependency parsing is a task in the field of natural language processing that aims to infer the dependency structure of sentences without annotated training data. The goal of this task is to automatically identify the grammatical relationships between words from raw text and construct dependency trees to reveal the deep semantic and syntactic features of sentences. Unsupervised dependency parsing has significant application value in scenarios with limited language resources, effectively enhancing the performance of downstream tasks such as text understanding, information extraction, and machine translation.