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.

Ex Input:
In case of polysemous words, only the first word sense (usually the most common) is taken into account.
Question: How do they handle polysemous words in their entity library?

Ex Output:
only the first word sense (usually the most common) is taken into account

Ex Input:
In this paper, we first highlight the importance of TV and radio broadcast as a source of data for ASR, and the potential impact it can have. We then perform a statistical analysis of gender representation in a data set composed of four state-of-the-art corpora of French broadcast, widely used within the speech community. Finally we question the impact of such a representation on the systems developed on this data, through the perspective of an ASR system.
Question: What tasks did they use to evaluate performance for male and female speakers?

Ex Output:
ASR

Ex Input:
Two-talker overlapped speech is artificially generated by mixing these waveform segments. To maximize the speech overlap, we developed a procedure to mix similarly sized segments at around 0dB. First, we sort the speech segments by length. Then, we take segments in pairs, zero-padding the shorter segment so both have the same length. These pairs are then mixed together to create the overlapped speech data.
Question: How are the two datasets artificially overlapped?

Ex Output:
we sort the speech segments by length we take segments in pairs, zero-padding the shorter segment so both have the same length These pairs are then mixed together