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.

Q: We use the Bayesian model of garg2012unsupervised as our base monolingual model. The semantic roles are predicate-specific. 
 Question: What does an individual model consist of?

A: Bayesian model of garg2012unsupervised as our base monolingual model
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Q:  To evaluate real-world performance of our selected classifier (i.e., performance in the absence of model and parameter bias), we perform classification of the holdout set. On this set, our classifier had an accuracy and F1-score of 89.6% and 89.2%, respectively.  
 Question: What was their system's performance?

A: accuracy and F1-score of 89.6% and 89.2%, respectively
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Q: There are various possible extensions for this work. For example, using all frames assigned to a phone, rather than using only the middle frame. 
 Question: Do they propose any further additions that could be made to improve generalisation to unseen speakers?

A:
Yes
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