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.

[EX Q]: The baseline system for the SLC task is a very simple logistic regression classifier with default parameters, where we represent the input instances with a single feature: the length of the sentence.  The baseline for the FLC task generates spans and selects one of the 18 techniques randomly. 
[EX A]: What was the baseline for this task?

[EX Q]: To evaluate the proposed LRC framework and the AutoJudge model, we carry out a series of experiments on the divorce proceedings, a typical yet complex field of civil cases. 
[EX A]: what civil field is the dataset about?

[EX Q]: We end up with two salient roles called Anchors and Punctual speakers:

the Anchor speakers (A) are above the threshold of 1% for both criteria, meaning they are intervening often and for a long time thus holding an important place in interaction;

the Punctual speakers (PS) on the contrary are below the threshold of 1% for both the total number of turns and the total speech time.
[EX A]:
How many categories do authors define for speaker role?