Natural Language Processing Quiz
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Questions and Answers

Which of the following is NOT a task typically associated with natural language processing?

  • Sentiment analysis
  • Document classification
  • Climate modeling (correct)
  • Information retrieval

What type of ambiguity arises when multiple meanings for a word exist?

  • Word-level ambiguity (correct)
  • Sentence-level ambiguity
  • Attachment ambiguity
  • Local ambiguity

Which challenge is primarily associated with the structured vs. unstructured nature of text?

  • Variability
  • Typos
  • Text is unstructured (correct)
  • Volume of Data

What does attachment ambiguity relate to?

<p>Unclear connections between sentence elements (A)</p> Signup and view all the answers

Which task in natural language processing involves providing short answers to specific inquiries?

<p>Question answering (B)</p> Signup and view all the answers

What can context help resolve in language processing?

<p>Ambiguity (C)</p> Signup and view all the answers

Which of the following describes the issue of variability in language?

<p>Different expressions conveying the same idea (D)</p> Signup and view all the answers

Which technological resource is essential for processing human language effectively?

<p>Basic Linguistic Concepts (A)</p> Signup and view all the answers

What is the primary function of Named Entity Recognition in Natural Language Processing?

<p>To identify and categorize proper names and entities in text. (D)</p> Signup and view all the answers

Which of the following best describes corpus annotation?

<p>Incorporating linguistic information into the text. (C)</p> Signup and view all the answers

What is the role of sentiment analysis in the study of language?

<p>To categorize words and their emotional implications. (C)</p> Signup and view all the answers

What is an example of a domain-specific dictionary?

<p>A collection of medical terminology. (A)</p> Signup and view all the answers

Which method can be used for adding annotation to corpora automatically?

<p>Machine learning algorithms. (B)</p> Signup and view all the answers

What is a significant challenge of manual corpus annotation?

<p>It can be time-consuming and costly. (B)</p> Signup and view all the answers

Which of the following aspects does spell checking typically address?

<p>Correcting incorrectly spelled words. (B)</p> Signup and view all the answers

What type of linguistic data can be included in corpora?

<p>A mixture of written text, transcribed speech, and web text. (B)</p> Signup and view all the answers

Flashcards

Natural Language Processing (NLP)

The process of understanding and analyzing data that is presented in a language.

Information Retrieval

A task within NLP that involves searching for relevant documents from a large collection.

Document Classification

An NLP task that involves categorizing documents into specific groups.

Text Summarization

An NLP task that aims to provide a concise and informative summary of a document or set of documents.

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Computational Linguistics

The ability of a computer to understand and respond to human language in a way that is similar to how humans communicate with each other.

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Sentiment Analysis

An NLP task that involves analyzing text to determine the emotional tone or sentiment expressed.

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Machine Translation

An NLP task that involves translating text from one language to another.

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Natural Language Generation

An NLP task that involves creating natural-sounding text from a computer.

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Word Sense Disambiguation

Determining which meaning of a word is being used in a particular context. For example, "bank" could refer to a financial institution or the edge of a river.

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Named Entity Recognition

Dictionaries of names (people, organisations, places) used to identify named entities in text. They can be general (list of company names) or domain-specific (list of medical terms).

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Corpus

A collection of texts or speech containing a large amount of linguistic data - typically thousands to millions of words/sentences.

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Corpus Annotation

Adding linguistic information (POS tags, syntactic structures, semantic roles) to text. This helps computers understand the language and structure of the text.

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Verb Subcategorisation Frames

Refer to the patterns of syntactic structures that specific verbs can occur in.

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Sentiment Analysis Dictionary

A collection of words and their associated sentiment scores (positive, negative, neutral) used to analyse the emotional tone of a text.

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Gold Standard Corpus

A standard dataset used for evaluating the performance of NLP systems. This helps researchers compare different approaches and track progress.

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Language Model

Computational representations of language that capture the statistical and syntactic properties of human language. They are used in many NLP applications.

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