Search Results - "Christmann, Philipp"

Faithful Temporal Question Answering over Heterogeneous Sources by Jia, Zhen, Christmann, Philipp, Weikum, Gerhard

“…Temporal question answering (QA) involves time constraints, with phrases such as "... in 2019" or "... before COVID". In the former, time is an explicit…”
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CompMix: A Benchmark for Heterogeneous Question Answering by Christmann, Philipp, Roy, Rishiraj Saha, Weikum, Gerhard

“…Fact-centric question answering (QA) often requires access to multiple, heterogeneous, information sources. By jointly considering several sources like a…”
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Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks by Christmann, Philipp, Roy, Rishiraj Saha, Weikum, Gerhard

“…In conversational question answering, users express their information needs through a series of utterances with incomplete context. Typical ConvQA methods rely…”
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Conversational Question Answering on Heterogeneous Sources by Christmann, Philipp, Roy, Rishiraj Saha, Weikum, Gerhard

“…Conversational question answering (ConvQA) tackles sequential information needs where contexts in follow-up questions are left implicit. Current ConvQA systems…”
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Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases by Christmann, Philipp, Roy, Rishiraj Saha, Weikum, Gerhard

“…Answering complex questions over knowledge bases (KB-QA) faces huge input data with billions of facts, involving millions of entities and thousands of…”
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Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision by Christmann, Philipp, Vakulenko, Svitlana, Sorodoc, Ionut Teodor, Byrne, Bill, de Gispert, Adrià

“…Long-form question answering (LFQA) aims at generating in-depth answers to end-user questions, providing relevant information beyond the direct answer…”
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Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion by Christmann, Philipp, Roy, Rishiraj Saha, Abujabal, Abdalghani, Singh, Jyotsna, Weikum, Gerhard

“…CIKM 2019 Fact-centric information needs are rarely one-shot; users typically ask follow-up questions to explore a topic. In such a conversational setting, the…”
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