Given a stream of text, Named Entity Recognition determines which pronoun maps to which noun. A. False B. True

The correct answer is False. Named Entity Recognition (NER) is a natural language processing (NLP) task that identifies and classifies named entities in text. Named entities are words or phrases that refer to specific people, places, things, or concepts. NER is often used in conjunction with other NLP tasks, such as machine translation and information extraction.

Pronoun resolution is

a different NLP task that determines the referent of a pronoun in a text. The referent is the entity that the pronoun refers to. Pronoun resolution is often used in conjunction with NER, as NER can identify the named entities in a text that may be the referents of pronouns.

In the example sentence “John gave Mary the book,” the pronoun “Mary” refers to the named entity “Mary.” The NER task would identify “Mary” as a named entity, and the pronoun resolution task would determine that “Mary” is the referent of the pronoun “her.”

Here is a brief explanation of each option:

• Option A: False. Named Entity Recognition does not determine which pronoun maps to which noun.
• Option B: True. Pronoun resolution determines which pronoun maps to which noun.

I hope this helps!