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MLS-C01 · Question #156

MLS-C01 Question #156: Real Exam Question with Answer & Explanation

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Modeling

Question

A digital newspaper owns a large collection of articles and human-written associated article summaries. The summaries are used as headers for each article posted online, and the newspaper editors would like to find a way to produce the summaries automatically. A Machine Learning Specialist needs to apply machine learning to automate the summary-generation process. Which solution addresses this need?

Options

  • AApply a neural topic model on the raw article sequence formatted as a bag of words.
  • BProject articles to a low-dimensional, compact representation by average word2vec embeddings
  • CDownsample article words to a desired summary size with the word dropout probability inverse to
  • DApply seq2seq recurrent neural networks (RNNs) under the encoder-decoder framework.

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Topics

#Text Summarization#Seq2seq Models#Recurrent Neural Networks#Natural Language Processing
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