Named Entity Recognition Quiz

To create fictional characters in a story

To identify the author of a text document

To translate text from one language to another

To locate and classify named entities in text into pre-defined categories

Sorting emails based on the sender's name

Counting the number of words in a document

Filtering resumes for job roles

Identifying the color of a car in a photo

It requires a large amount of training data

It cannot handle spelling variations

It is not suitable for healthcare data

It needs to be updated regularly

Rule-based

Deep Learning-based

Machine Learning-based

Dictionary-based

It requires a large amount of feature engineering

It is not suitable for complex relations in the input data

It is only effective for small datasets

It saves time and resources on feature engineering

Inside, Outside, Beginning

Input, Output, Balance

Information, Observation, Break

In, Out, Back

Government Policy Enforcement

Geopolitical Items

General Public Entity

Global Positioning Equipment

To identify adverbs in a sentence

To form noun phrases based on specific rules

To count the number of nouns in a paragraph

To separate verbs from nouns in a text document

It counts the frequency of words in a text

It translates text from one language to another

It identifies named entities using a classifier

It removes stop words from a sentence

To build information extraction systems

To design computer graphics

To create fictional characters in stories

To analyze musical compositions