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.

[EX 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?
[EX A]: Bayesian model of garg2012unsupervised as our base monolingual model

[EX Q]: Our system, including software and corpus, is available as an open source project for free research purpose and we believe that it is a good baseline for the development and comparison of future Vietnamese SRL systems.
Question: Are their corpus and software public?
[EX A]: Yes

[EX Q]: In this scenario we have a paired dataset that contains article-comment parallel contents INLINEFORM0 , and an unpaired dataset that contains the documents (articles or comments) INLINEFORM1 . The supervised model is trained on INLINEFORM2 so that we can learn the matching or mapping between articles and comments. By sharing the encoder of the supervised model and the unsupervised model, we can jointly train both the models with a joint objective function: DISPLAYFORM0
Question: Which paired corpora did they use in the other experiment?
[EX A]:
dataset that contains article-comment parallel contents INLINEFORM0 , and an unpaired dataset that contains the documents (articles or comments) INLINEFORM1