82 citations · 510 across the 22 of their papers we have counts for
6 papers · 1 filter
Complex Temporal Question Answering on Knowledge Graphs
Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy +1
Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with temporal intent are a special class of practical importance, but have not received much atte…
UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text
Soumajit Pramanik, Jesujoba Alabi, Rishiraj Saha Roy +1
Question answering over RDF data like knowledge graphs has been greatly advanced, with a number of good systems providing crisp answers for natural language questions or telegraphi…
Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases
Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum
Answering complex questions over knowledge bases (KB-QA) faces huge input data with billions of facts, involving millions of entities and thousands of predicates. For efficiency, Q…
Counterfactual Explanations for Neural Recommenders
Khanh Hiep Tran, Azin Ghazimatin, Rishiraj Saha Roy
Understanding why specific items are recommended to users can significantly increase their trust and satisfaction in the system. While neural recommenders have become the state-of-…
Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs
Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum
The rise of personal assistants has made conversational question answering (ConvQA) a very popular mechanism for user-system interaction. State-of-the-art methods for ConvQA over k…
ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models
Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy +1
System-provided explanations for recommendations are an important component towards transparent and trustworthy AI. In state-of-the-art research, this is a one-way signal, though,…