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

Answer: One


Question: The 16 classes are inspired by the OntoNotes5 corpus BIBREF7 as well as the ACE (Automatic Content Extraction) English Annotation Guidelines for Entities Version 6.6 2008.06.13 BIBREF8. 
 Question: How did they determine the distinct classes?

Answer: inspired by the OntoNotes5 corpus BIBREF7 as well as the ACE (Automatic Content Extraction) English Annotation Guidelines for Entities Version 6.6 2008.06.13 BIBREF8


Question: We achieve significant gains over our strong baseline by leveraging decompositions from our best decomposition model, trained with USeq2Seq on FastText pseudo-decompositions; we find a 3.1 F1 gain on the original dev set, 11 F1 gain on the multi-hop dev set, and 10 F1 gain on the out-of-domain dev set.  
 Question: How large is the improvement over the baseline?

Answer:
3.1 F1 gain on the original dev set 11 F1 gain on the multi-hop dev set 10 F1 gain on the out-of-domain dev set.