Final answer:
To process sentences for relation extraction, the correct method is Parsing, which analyzes the grammatical structure to understand the relationships within the sentence.
Step-by-step explanation:
To process sentences for relation extraction, the correct option is C) Parsing. Parsing refers to the use of algorithms to deduce the grammatical structure of a sentence and understand the relationships between different elements within it. While tokenization, named entity recognition (NER), and lemmatization are also important steps in natural language processing, they serve different purposes.
Tokenization is the process of breaking down text into individual units, or tokens. Named Entity Recognition (NER) is a technique to identify entities within the text, such as names of people, places, or organizations. Lemmatization is used to reduce words to their base, or dictionary, form. But parsing is specifically aligned with determining the hierarchical structure of the text for the purpose of extracting relations between the entities.
Parsing is the process of analyzing the structure and grammar of sentences to understand their relationships. It involves breaking down sentences into smaller components such as phrases and words, and identifying the roles and dependencies between them.
Tokenization, named entity recognition (NER), and lemmatization are important preprocessing steps in natural language processing, but they are not specifically used for relation extraction.
The correct answer is C) Parsing.