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edit approved Oct 3, 2018 at 19:23
quintumnia
edit approved Oct 3, 2018 at 19:23
quintumnia
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ifIf you are talking about "generating" in the sense of generative models , it is pretty tough. since we are still far beyond understanding the actual structure of question-answering. and

And even state of the art methods for question answering are also not able to score well on datasets like babi, (mostlybabi , mostly 16 out of 20 tasks can be solved).

if you are talking about "generating" in the sense of generative models , it is pretty tough. since we are still far beyond understanding the actual structure of question-answering. and even state of the art methods for question answering are also not able to score well on datasets like babi, (mostly 16 out of 20 tasks can be solved).

If you are talking about "generating" in the sense of generative models , it is pretty tough. since we are still far beyond understanding the actual structure of question-answering.

And even state of the art methods for question answering are also not able to score well on datasets like babi , mostly 16 out of 20 tasks can be solved.

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thecomplexitytheorist
thecomplexitytheorist
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if you are talking about "generating" in the sense of generative models , it is pretty tough. since we are still far beyond understanding the actual structure of question-answering. and even state of the art methods for question answering are also not able to score well on datasets like babi, (mostly 16 out of 20 tasks can be solved).