AWS Certified Machine Learning – Specialty — Question 27

An interactive online dictionary wants to add a widget that displays words used in similar contexts. A Machine Learning Specialist is asked to provide word features for the downstream nearest neighbor model powering the widget.
What should the Specialist do to meet these requirements?

Answer options

• A. Create one-hot word encoding vectors.
• B. Produce a set of synonyms for every word using Amazon Mechanical Turk.
• C. Create word embedding vectors that store edit distance with every other word.
• D. Download word embeddings pre-trained on a large corpus.

Correct answer: D

Explanation

The correct choice, D, is ideal because pre-trained word embeddings are designed to capture semantic relationships between words, making them suitable for contextual similarity tasks. Option A is less effective as one-hot encoding does not capture relationships between words. Option B focuses on synonyms rather than contextual usage, and option C is not as effective for nearest neighbor models since edit distance does not reflect semantic similarity.