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7.   An entity is a verb that represents an idea suggested or implied as well as stated.
                   8.   Lexical analysis is also known as parsing.

                   9.   In natural language, the meaning of a word may vary as per its usage in sentences and the context
                       of the text.

                   10.  Pragmatic analysis is the process of abstracting or extracting meaning from the usage of language
                       and interpreting a text using the knowledge obtained from previous NLP procedures.


                                                SECTION B (Subjective Type Questions)
              A.   Short answer type questions.
                   1.   Explain Coreference resolution with an example.

                   2.   Define the following:
                       (a)  Intent         (b)  Tokens
                   3.   Define any 2 applications of NLP.
                   4.   "Human language is full of terms that are vague or have double meanings". Explain this statement with an example.

                   5.   List the five phases of NLP.
              B.   Long answer type questions.
                   1.   Discuss the application of document analysis.

                   2.   Elaborate all the stages of NLP.
                   3.   Explain the structure of a Chatbot with a suitable diagram.
                   4.   Explain the concept of dialog with the help of an example.

                   5.   What strategies are adopted by an AI model to deal with the classification problem?
              C.   Competency-based/Application-based questions:                     #Problem Solving & Logical Reasoning

                   1.   In  the  town  of  Hawri,  a  young  AI  enthusiast  named  Alisha  was  developing  a  smart  email  filter.  One  day,  she
                       encountered a puzzling challenge and turned to her mentor, Dr. Lina, for advice.
                       Alisha asked, "What kind of classification problems does an AI system face?"
                       Dr. Lina smiled and replied, "Imagine your email filter needs to classify incoming messages as 'spam' or 'not spam.'
                       What examples can you think of, that highlight the challenges it might face in this classification problem?". Explain
                       your response with an example.
                   2.   As the head of a retail customer support team, your team currently handles customer complaints and inquiries
                       manually.  To  improve  efficiency,  you  are  considering  implementing  a  chatbot  (either  rule-based  or  AI-based).
                       Describe the challenges you might face during the transition and the expected impact on your team's efficiency
                       and customer satisfaction.
                       Assertion and Reasoning Question:
                        Direction: Question 3, consist of two statements – Assertion (A) and Reasoning (R). Answer these questions by
                       selecting the appropriate option given below:
                       a. Both A and R are true and R is the correct explanation of A.
                       b. Both A and R are true but R is not the correct explanation of A.
                       c. A is true but R is false.
                       d. A is false but R is true.
                   3.   Assertion: Lemmatisation reduces words to their base or root form.
                       Reasoning:  This  process  aids  in  standardising  text  for  better  analysis  and  understanding  in  natural  language
                       processing tasks.


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