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: This paper used the real-time method to randomly collect 10% of publicly available English tweets using several pre-defined DDEO-related queries (Table TABREF6 ) within a specific time frame. 

SOLUTION: Do they evaluate only on English data?

PROBLEM: Our main contributions are (1) the publication of Turkish corpus for coarse-grained and fine-grained NER, and TC research, (2) six different versions of corpus according to noise reduction methodology and entity types, (3) an analysis of the corpus and (4) benchmark comparisons for NER and TC tasks against human annotators. 

SOLUTION: Did they experiment with the dataset on some tasks?

PROBLEM: We attribute the significant performance gain of our model over the baseline to a combination of several factors as described below:

SOLUTION:
Do they train a different training method except from scheduled sampling?