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Neural Question Answering at BioASQ 5B
Georg Wiese, Dirk Weissenborn, Mariana Neves
This paper describes our submission to the 2017 BioASQ challenge. We participated in Task B, Phase B which is concerned with biomedical question answering (QA). We focus on factoid…
Neural Domain Adaptation for Biomedical Question Answering
Georg Wiese, Dirk Weissenborn, Mariana Neves
Factoid question answering (QA) has recently benefited from the development of deep learning (DL) systems. Neural network models outperform traditional approaches in domains where…
Dynamic Integration of Background Knowledge in Neural NLU Systems
Dirk Weissenborn, Tomáš Kočiský, Chris Dyer
Common-sense and background knowledge is required to understand natural language, but in most neural natural language understanding (NLU) systems, this knowledge must be acquired f…
Making Neural QA as Simple as Possible but not Simpler
Dirk Weissenborn, Georg Wiese, Laura Seiffe
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 syst…