Closed fooSynaptic closed 4 years ago
the train file look like
and the prepare fns behave like:
res = train_json_prepare(raw_paragraph[i], '今天听什么长篇评书?', \ '今天听什么长篇评书?', ans_span[i])
I am not sure about the details of your task, and what about the results when you treat your task as an entity tagging task?
I am not sure about the details of your task, and what about the results when you treat your task as an entity tagging task?
@lkliukai I do not think the NER can replace the reading comprehension task
I am not sure about the details of your task, and what about the results when you treat your task as an entity tagging task?
@lkliukai I do not think the NER can replace the reading comprehension task
No, I don't think so. NER is only a part of QA task.
I am not sure about the details of your task, and what about the results when you treat your task as an entity tagging task?
@lkliukai I do not think the NER can replace the reading comprehension task
No, I don't think so. NER is only a part of QA task.
learnning task is not only result generation method, i understand that you point out NER produce result in a similar form with QA, but their optimize target is very different
I inspected the json format and prepared with labeled answers.