Q: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
We only used models of dimension 300 and, for Word2Vec, Wang2Vec, and FastText, skip-gram architectured models.
Question: what word embedding techniques did they experiment with?
A:
Word2Vec, Wang2Vec, and FastText