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20192025
most citedLook before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion

55 citations · 56 across the 6 of their papers we have counts for

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cs.IR20251 cited

Traceable Drug Recommendation over Medical Knowledge Graphs

Yu Lin, Zhen Jia, Philipp Christmann +3

Drug recommendation (DR) systems aim to support healthcare professionals in selecting appropriate medications based on patients' medical conditions. State-of-the-art approaches uti…

cs.IR2024

Faithful Temporal Question Answering over Heterogeneous Sources

Zhen Jia, Philipp Christmann, Gerhard Weikum

Temporal question answering (QA) involves time constraints, with phrases such as "... in 2019" or "... before COVID". In the former, time is an explicit condition, in the latter it…

cs.IR2023

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…

cs.IR2023

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 (…

cs.IR201955 cited

Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion

Philipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal +2

Fact-centric information needs are rarely one-shot; users typically ask follow-up questions to explore a topic. In such a conversational setting, the user's inputs are often incomp…