In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.

We use Gaussian Processes as this probabilistic kernelised framework avoids the need for expensive cross-validation for hyperparameter selection 
 Question: Why is a Gaussian process an especially appropriate method for this classification problem?
avoids the need for expensive cross-validation for hyperparameter selection

ACL-ARC is a dataset of citation intents released by BIBREF7 . The dataset is based on a sample of papers from the ACL Anthology Reference Corpus BIBREF15 and includes 1,941 citation instances from 186 papers and is annotated by domain experts in the NLP field. 
 Question: What is the size of ACL-ARC datasets?
includes 1,941 citation instances from 186 papers

While many focus on giving a vector representation of a word, an increasing number now exist that will give a vector representation of a entire sentence or text. Following on from this work, we seek to devise a system that can run online, performing text clustering on the embeddings of texts one at a time 
 Question: How is an incoming claim used to retrieve similar factchecked claims?

text clustering on the embeddings of texts