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.

Input: Consider Input: In Table TABREF1, we summarize the quantitative results of the above previous studies. In Table TABREF1, we summarize the quantitative results of the above previous studies. 
 Question: What is the accuracy reported by state-of-the-art methods?

Output: Answer with content missing: (Table 1)
Previous state-of-the art on same dataset: ResNet50 89% (6 languages), SVM-HMM 70% (4 languages)


Input: Consider Input: All documents are segmented into paragraphs and processed at the paragraph level (both training and inference); this is acceptable because we observe that most paragraphs are less than 200 characters. The input sequences are segmented by the BERT tokenizer, with the special [CLS] token inserted at the beginning and the special [SEP] token added at the end. 
 Question: At what text unit/level were documents processed?

Output: documents are segmented into paragraphs and processed at the paragraph level


Input: Consider Input: The annotator carried out all annotation. 
 Question: How many annotators tagged each tweet?


Output: One