Natural Language Processing CT-2

Why is code switching considered a challenge in sentence boundary detection in natural language processing?

• It simplifies the identification of sentence boundaries

• It has no impact on sentence boundary detection

• It standardizes the sentence structure across languages

• It affects the characteristics of sentences by introducing different punctuation rules

How is topic segmentation typically approached in natural language processing?

• By automatically dividing a stream of text into topically homogeneous blocks

• By focusing on sentence boundaries only

• By analyzing punctuation marks

• By categorizing words based on their meanings

What is the primary difference between generative and discriminative sequence classification methods in natural language processing?

• Generative methods estimate the joint distribution of observations and labels, while discriminative methods focus on differences between labeling examples

• Generative methods require iterative optimization, while discriminative methods do not

• Generative methods use local features, while discriminative methods use global features

• Generative methods focus on feature differences, while discriminative methods estimate joint distributions

Why is sentence boundary detection challenging in conversational text or multiparty meetings?

• The use of formal language structures simplifies boundary detection

• The boundaries may not be absolute due to ungrammatical sentences and disfluencies

• The lack of topic shifts in conversations complicates boundary identification

• The presence of clear punctuation marks makes boundary detection difficult

What is the primary goal of sentence boundary detection in natural language processing?

• To segment words into phrases

• To determine where sentences begin and end

• To classify sentence types

• To identify punctuation marks

___________ tools allow businesses to identify customer sentiment toward products, brands or services in online feedback.

• 1. Syntactical analysis

• 1. Sentiment Analysis

• 1. Hybrid analysis

• 1. Lexical analysis

Sentiment analysis is also known as ____.

• 1. Opinion mining

• 1. Data mining

• 1. Text Analysis

• 1. Automatic Summerization

What Is The Major Difference Between Crf (Conditional Random Field) And Hmm (Hidden Markov Model)?

• 1. Crf And Hmm Are Generative Model

• 1. Crf Is Discriminative Whereas Hmm Is Generative Model

• 1. Crf Is Generative Whereas Hmm Is Discriminative Model

• 1. Crf And Hmm Are Discriminative Model

Which algorithm is used to train HMM model?

• 1. A centering algorithm

• 1. Early algorithm

• 1. Lexk algorithm

• 1. Forward-backward or Welch algorithm

Following property is of - .These taggers are knowledge-driven.

• 1. Rule based Tagging and Stochastic Tagging

• 1. Rule based Tagging

• 1. Stochastic Tagging

• 1. Neither Rule based Tagging nor Stochastic Tagging