You will be given a definition of a task first, then some input of the task.
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 use 10-fold cross-validation, and only two types of features: n-grams and Word2Vec word embeddings. The n-gram features include unigrams, bigrams, and trigrams, including sequences of punctuation (for example, ellipses or "!!!"), and emoticons. We use GoogleNews Word2Vec features BIBREF28 .
Question: What simple features are used?
Output:
unigrams, bigrams, and trigrams, including sequences of punctuation Word2Vec word embeddings