TASK DEFINITION: In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering abstractive questions involves paraphrasing the context using novel sentences. Yes-no question is a question whose expected answer is one of two choices, one that affirms the question and one that denies the question. Typically, the choices are either yes or no.
PROBLEM: We are using the dataset of the competition, which includes text from tweets having the aforementioned categories.
Question: What dataset is used for this work?

SOLUTION: Abstractive

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.
Question: Do they evaluate only on English data?

SOLUTION: Yes-no

PROBLEM: We chose SVMhmm BIBREF111 implementation of Structural Support Vector Machines for sequence labeling. SVM implementation of
Question: Which machine learning methods are used in experiments?

SOLUTION:
Abstractive