instruction:
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:
For the Russian language, with its rich morphology, lemmatizing the training and testing data for ELMo representations yields small but consistent improvements in the WSD task.  
 Question: What other examples of morphologically-rich languages do the authors give?
answer:
Russian


question:
They can answer each question with either `yes', `rather yes', `rather no', or `no'. They can supplement each answer with a comment of at most 500 characters. 
 Question: What annotations are present in dataset?
answer:
answer each question with either `yes', `rather yes', `rather no', or `no'. can supplement each answer with a comment of at most 500 characters


question:
In this paper, we use three encoders (NBOW, LSTM and attentive LSTM) to model the text descriptions. 
 Question: What neural models are used to encode the text?
answer:

NBOW, LSTM, attentive LSTM