What is dependency parsing in NLP?
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Dependency parsing in natural language processing (NLP) is a technique used to analyze the grammatical structure of a sentence by determining the relationships between words. It involves identifying the syntactic dependencies between words and representing them as a directed graph, where each word is a node and the dependencies between words are represented as directed edges. These dependencies typically reflect relationships such as subject-verb, object-verb, modifier-modified, etc. Dependency parsing is useful for various NLP tasks, including parsing, sentiment analysis, machine translation, and information extraction.
Dependency parsing is the process of analyzing the grammatical structure of a sentence to identify the syntactic dependencies between words, often represented as directed arcs in a dependency tree.