I have read the paper "TRACKING THE WORLD STATE WITH RECURRENT ENTITY NETWORKS".
In the section 5 experiments, table 4 shows the result of testing Entnet on CBT(children's book test).
I have some problem about training it.
In CBT dataset it looks like {story, query, candidate, answer}.
And bAbI is {story, query, answer}
If I want to train CBT dataset, how can I feed candidate to the model ?
Or candidate only used to prepare data as window sentence ?
I have read the paper "TRACKING THE WORLD STATE WITH RECURRENT ENTITY NETWORKS". In the section 5 experiments, table 4 shows the result of testing Entnet on CBT(children's book test). I have some problem about training it. In CBT dataset it looks like {story, query, candidate, answer}. And bAbI is {story, query, answer} If I want to train CBT dataset, how can I feed candidate to the model ? Or candidate only used to prepare data as window sentence ?
Thanks!