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: Our system was ranked second in the competition only 0.3 BLEU points behind the winning team UPC-TALP. The relative low BLEU and high TER scores obtained by all teams are due to out-of-domain data provided in the competition which made the task equally challenging to all participants. The fact that out-of-domain data was provided by the organizers resulted in a challenging but interesting scenario for all participants.

SOLUTION: Does the use of out-of-domain data improve the performance of the method?

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

SOLUTION: Do they experiment with the dataset?

PROBLEM: Following previous studies BIBREF1, we collect event-related microposts from Twitter using 11 and 8 seed events (see Section SECREF2) for CyberAttack and PoliticianDeath, respectively. Unlabeled microposts are collected by using the keyword 'hack' for CyberAttack, while for PoliticianDeath, we use a set of keywords related to 'politician' and 'death' (such as 'bureaucrat', 'dead' etc.)

SOLUTION:
Do they report results only on English data?