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.

PERPLEXITY 
 Question: Does the paper consider the use of perplexity in order to identify text anomalies?
Yes-no

 In this task English tweets from conversation threads, each associated to a newsworthy event and the rumours around it, are provided as data. The goal is to determine whether a tweet in the thread is supporting, denying, querying, or commenting the original rumour which started the conversation.  
 Question: Is this an English-language dataset?
Yes-no

In ConMask, we use a similar idea to select the most related words given some relationship and mask irrelevant words by assigning a relationship-dependent similarity score to words in the given entity description. ConMask selects words that are related to the given relationship to mitigate the inclusion of irrelevant and noisy words. 
 Question: Can the model add new relations to the knowledge graph, or just new entities?

Abstractive