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Recent development of large-scale question answering (QA) datasets triggered a substantial amount of research into end-toend neural architectures for QA. Increasingly complex systems have been conceived without comparison to simpler neural baseline systems that would justify their complexity. In this work, we propose a simple heuristic that guides the development of neural baseline systems for ...
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ژورنال
عنوان ژورنال: Nature
سال: 2009
ISSN: 0028-0836,1476-4687
DOI: 10.1038/nj7236-374c