Dependency Grammar Induction

Dependency Grammar Induction, also known as unsupervised dependency parsing, is a crucial task in the field of natural language processing aimed at automatically deriving the dependency structure of a language from unannotated corpora. This task involves constructing dependency grammar models of languages to uncover the grammatical and semantic relationships between words, thereby providing essential support for applications such as language understanding, machine translation, and information extraction. Its core objective is to enhance the model's self-learning capability of language structures, reduce reliance on manually annotated data, and improve the robustness and generalization ability of natural language processing systems.