NLP and the Four Main Categories of Ambiguity DATA-SCIENCE-OPTIMIZE Practice Questions (Page 6)

Questions 26–28

1. 26foundation · easy

   Which technique is commonly used by NLP systems to resolve ambiguity?

   • ARemoving all punctuation from the text
   • BConverting all text to a single universal language
   • CIgnoring ambiguous words entirely
   • DUsing context from surrounding words and sentences
   Reveal Solution Discussion Select an answer first
2. 27expert · hard

   A legal document review system must extract parties and obligations from contracts. It encounters the sentence: 'The company shall indemnify the client against all claims arising from the use of the product.' The system must decide whether 'the use of the product' refers to the client's use or the company's use. Which type of ambiguity is this, and what is the most effective way to resolve it?

   • ASemantic ambiguity; use a word-sense disambiguation model
   • BSyntactic ambiguity; use a dependency parser to identify the subject of 'use'
   • CPragmatic ambiguity; use the surrounding contract clauses to infer the intended meaning
   • DLexical ambiguity; use a legal dictionary to define 'use'
   Reveal Solution Discussion Select an answer first
3. 28application · medium

   A virtual assistant for a restaurant receives the user message: 'Can you pass the salt?' The assistant must decide whether the user is asking about its ability to pass salt or making a polite request for salt. Which type of ambiguity is this?

   • ALexical ambiguity
   • BSyntactic ambiguity
   • CPragmatic ambiguity
   • DSemantic ambiguity
   Reveal Solution Discussion Select an answer first