82 citations · 510 across the 22 of their papers we have counts for
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Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation
Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum
Models for conversational question answering (ConvQA) over knowledge graphs (KGs) are usually trained and tested on benchmarks of gold QA pairs. This implies that training is limit…
CompMix: A Benchmark for Heterogeneous Question Answering
Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum
Fact-centric question answering (QA) often requires access to multiple, heterogeneous, information sources. By jointly considering several sources like a knowledge base (KB), a tex…
Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks
Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum
In conversational question answering, users express their information needs through a series of utterances with incomplete context. Typical ConvQA methods rely on a single source (…