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:
TABREF5 displays the output behavior of models that we damaged to resemble the damage that causes aphasia. Because the output languages in all of our domains use tokens to represent meanings in many cases, it is expected that the analog to Wernicke's area is responsible for maintaining a high precision.
Question: Do they perform a quantitative analysis of their model displaying knowledge distortions?
answer:
Yes

question:
We chose SVMhmm BIBREF111 implementation of Structural Support Vector Machines for sequence labeling. SVM implementation of
Question: Which machine learning methods are used in experiments?
answer:
Structural Support Vector Machine

question:
The test-set accuracies obtained by different learning methods, including the current state-of-the-art results, are presented in Table TABREF11 .
Question: what models did they compare to?
answer:
High-order CNN, Tree-LSTM, DRNN, DCNN, CNN-MC, NBoW and SVM