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: Named Entity Recognition (NER) in the Biomedical domain usually includes recognition of entities such as proteins, genes, diseases, treatments, drugs, etc.  
 Question: What is NER?

Output: Named Entity Recognition


Input: Consider Input: As the baseline, we simply judge the input token as IOCs on the basis of the spelling features described in BIBREF12 . 
 Question: What is used a baseline?

Output: As the baseline, we simply judge the input token as IOCs on the basis of the spelling features described in BIBREF12


Input: Consider Input: In the first scenario we equip the decoder with an additional morphology table including target-side affixes. 
 Question: What type of morphological information is contained in the "morphology table"?


Output: target-side affixes