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: 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.

SOLUTION: What tasks did they use to evaluate performance for male and female speakers?

PROBLEM: We compare our model with other strong competitive methods on the SQuAD leaderboard and TriviaQA leaderboard.

SOLUTION: What other solutions do they compare to?

PROBLEM: We chose SVMhmm BIBREF111 implementation of Structural Support Vector Machines for sequence labeling. SVM implementation of  

SOLUTION:
Which machine learning methods are used in experiments?