106 citations · 443 across the 28 of their papers we have counts for
19 papers · 1 filter
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…
Recommendations by Concise User Profiles from Review Text
Ghazaleh Haratinezhad Torbati, Anna Tigunova, Andrew Yates +1
Recommender systems perform well for popular items and users with ample interactions (likes, ratings etc.). This work addresses the difficult and underexplored case of users who ha…
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 (…
Class Cardinality Comparison as a Fermi Problem
Shrestha Ghosh, Simon Razniewski, Gerhard Weikum
Questions on class cardinality comparisons are quite tricky to answer and come with its own challenges. They require some kind of reasoning since web documents and knowledge bases,…
Answering Count Questions with Structured Answers from Text
Shrestha Ghosh, Simon Razniewski, Gerhard Weikum
In this work we address the challenging case of answering count queries in web search, such as ``number of songs by John Lennon''. Prior methods merely answer these with a single,…