TASK DEFINITION: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
PROBLEM: We incorporate typing information by concatenating to the embedding vector of each input symbol one of three embedding vectors, S, E or R, where S is concatenated to structural elements (opening and closing brackets), E to entity symbols and R to relation symbol

SOLUTION: How are typing hints suggested?

PROBLEM: In this work, we analyze a set of tweets related to a specific classical music radio channel, BBC Radio 3, interested in detecting two types of musical named entities, Contributor and Musical Work.

SOLUTION: What language is the Twitter content in?

PROBLEM: Subsequently, an LSTM decoder generates the characters in the output word form using encoder states and an attention mechanism.

SOLUTION:
What architecture does the decoder have?