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: The tweetLID workshop shared task requires systems to identify the language of tweets written in Spanish (es), Portuguese (pt), Catalan (ca), English (en), Galician (gl) and Basque (eu). 

SOLUTION: What shared task does this system achieve SOTA in?

PROBLEM: For example, the performance of even the best QA models degrades substantially on our hyponym probes (by 8-15%) when going from 1-hop links to 2-hops. Further, the accuracy of even our best models on the WordNetQA probe drops by 14-44% under our cluster-based analysis, which assesses whether a model knows several facts about each individual concept, rather than just being good at answering isolated questions. 

SOLUTION: After how many hops does accuracy decrease?

PROBLEM:  The overall performance of BERT was significantly better than the other models, having the lowest average difference in accuracy of 22.5 points.

SOLUTION:
Which model generalized the best?