Depth Estimation
Language Models and Natural Language Processing
A technique that analyzes the grammatical structure of sentences by identifying relationships between words.
Detailed Explanation
Dependency parsing is a natural language processing technique that analyzes the grammatical structure of sentences by determining how words relate to each other. It identifies dependencies such as which words modify or govern others, helping to understand sentence meaning and syntax. This method is fundamental for tasks like translation, information extraction, and question answering, enabling machines to interpret language more accurately.
Use Cases
- •Enhances chatbot understanding of complex sentences for more accurate responses in customer support interactions.
Related Terms
Other terms in the Language Models and Natural Language Processing category