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.

Q: We focus here on the Europarl domain, for which we have ample data in several languages, and use as in-domain training data the Europarl corpus BIBREF5 for two translation directions: English INLINEFORM0 German and English INLINEFORM1 French.
Question: what language is the data in?

A: English German French
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Q: In this paper, we introduce automatic 'drunk-texting prediction' as a computational task. Given a tweet, the goal is to automatically identify if it was written by a drunk user.
Question: Do the authors equate drunk tweeting with drunk texting?

A: Yes
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Q: Following previous work BIBREF13, BIBREF12, BIBREF10, BIBREF17, BIBREF9, BIBREF7, we choose SemCor3.0 as training corpus, which is the largest corpus manually annotated with WordNet sense for WSD.
Question: Is SemCor3.0 reflective of English language data in general?

A:
Yes
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