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.

To account for sequences of words and characters that might carry useful information, we extracted word unigrams, bigrams, and trigrams as features.
Question: Which features do they use to model Twitter messages?
word unigrams, bigrams, and trigrams

The best baseline model is NO-MOVE, reaching an accuracy of 30.3% on single sentences and 0.3 on complete paragraphs.
Question: How well did the baseline perform?
accuracy of 30.3% on single sentences and 0.3 on complete paragraphs

For those willing to have a more tightly-controlled installation of Seshat on their system, we also fully specify the manual installation steps in our online documentation).
Question: Is this software available to the public?
Yes