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 collected the dataset with 1900 dialogs and 8533 turns.

SOLUTION: What is the average length of dialog?

PROBLEM: This study assumes that a robot does not have any vocabularies in advance but can recognize syllables or phonemes.

SOLUTION: Does their model start with any prior knowledge of words?

PROBLEM: As we mention in the Section 2, CAEVO is the current state-of-the-art system for feature-based temporal event relation extraction BIBREF10 . It's widely used as the baseline for evaluating TB-Dense data. We adopt it as our baseline for evaluating CaTeRS and RED datasets.

SOLUTION:
What were the traditional linguistic feature-based models?