What is the primary objective of Named Entity Recognition (NER) in natural language processing?Question 4Answera.To translate text from one language to another automaticallyb.To generate human-like textc.To classify text into different sentiment categoriesd.To identify and classify named entities in text into predefined categories such as person names, organization names, etc.
Question
What is the primary objective of Named Entity Recognition (NER) in natural language processing?Question 4Answera.To translate text from one language to another automaticallyb.To generate human-like textc.To classify text into different sentiment categoriesd.To identify and classify named entities in text into predefined categories such as person names, organization names, etc.
Solution
The primary objective of Named Entity Recognition (NER) in natural language processing is to identify and classify named entities in text into predefined categories such as person names, organization names, etc.
Here's a step-by-step explanation:
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Named Entity Recognition (NER) is a subtask of natural language processing (NLP) that seeks to locate and classify named entities in text.
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Named entities can be individuals, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
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The primary objective of NER is to extract structured information from unstructured text data.
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For example, in the sentence "Apple Inc. is planning to open a new store in San Francisco on January 1, 2022.", NER would identify "Apple Inc." as an organization, "San Francisco" as a location, and "January 1, 2022" as a date.
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This information can then be used for many applications such as information extraction, machine translation, question answering, and knowledge graph construction.
Similar Questions
What is the primary goal of language modeling in natural language processing?Question 1Answera.To generate human-like textb.To identify and classify named entities in textc.To classify text into different sentiment categoriesd.To predict the next word in a sequence
Which of the following tasks is associated with syntactic analysis in NLP? Question 7Answera.Named Entity Recognition (NER)b.Sentiment analysisc.Parsing sentence structured.Document classification
What key steps are involved in basic text processing in natural language processing? Question 2Answera.Tokenization, stop words removal, stemming, and lemmatizationb.Bag of Words (BoW) model, TF-IDF, word embeddingsc.Named Entity Recognition (NER), part-of-speech tagging, syntax parsingd.Machine translation, sentiment analysis, topic modeling
Which of the following techniques is used for text classification?Question 1Answera.Word Sense Disambiguationb.All of the abovec.Topic Modelingd.Named Entity Recognition (NER)
In which of the following applications would both POS tagging and NER be particularly useful? Question 2Answera.Translating texts from one language to another without considering the structure or meaningb.Automatically generating summaries of long documents by identifying key entities and actionsc.Calculating the average sentence length in a set of documentsd.Creating a database of all adjectives used in a large corpus of texts
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