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.

Input: Consider Input: However, we also showed difference in produced errors for each method and different impact at word-level depending of the approach or units. Thus, future work will focus on analysing the orthographic output of these systems in two ways: 1) investigate errors produced by the end-to-end methods and explore several approaches to correct common errors done in French and 2) compare the end-to-end methods in a SLU context and evaluate the semantic value of the partially correct produced words.

Output: What will be in focus for future work?


Input: Consider Input: The overall Total Accuracy score reported in table TABREF19 using the entire feature set is 549. 

Output: Do they experiment with the dataset?


Input: Consider Input: With a single text, we were already able to predict the electricity consumption with a relative error of less than 5% for both data sets.


Output: How accurate is model trained on text exclusively?