instruction:
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
question:
This study assumes that a robot does not have any vocabularies in advance but can recognize syllables or phonemes.
answer:
Does their model start with any prior knowledge of words?


question:
Validated transcripts were sent to professional translators. In order to control the quality of the professional translations, we applied various sanity checks to the translations BIBREF11. We also sanity check the overlaps of train, development and test sets in terms of transcripts and voice clips (via MD5 file hashing), and confirm they are totally disjoint.
answer:
How is the quality of the data empirically evaluated? 


question:
In the proposed model, in addition to the co-occurrence edges, we link two nodes (words) if the corresponding word embedding representation is similar.
answer:

Do the use word embeddings alone or they replace some previous features of the model with word embeddings?