Making Neural QA as Simple as Possible but not Simpler

Dirk WeissenbornGeorg WieseLaura Seiffe

   Papers with code   Abstract  PDF

Recent development of large-scale question answering (QA) datasets triggered a substantial amount of research into end-to-end neural architectures for QA. Increasingly complex systems have been conceived without comparison to simpler neural baseline systems that would justify their complexity... (read more)

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