Fact-centric question answering (QA) often requires access to multiple,
...
In conversational question answering, users express their information ne...
Conversational question answering (ConvQA) tackles sequential informatio...
Question answering over knowledge graphs (KG-QA) is a vital topic in IR....
Question answering over knowledge graphs and other RDF data has been gre...
Answering complex questions over knowledge bases (KB-QA) faces huge inpu...
Understanding why specific items are recommended to users can significan...
The rise of personal assistants has made conversational question answeri...
System-provided explanations for recommendations are an important compon...
Question answering (QA) over text passages is a problem of long-standing...
The last few years have seen an explosion of research on the topic of
au...
Translating verbose information needs into crisp search queries is a
phe...
Interpretable explanations for recommender systems and other machine lea...
Information needs around a topic cannot be satisfied in a single turn; u...
Fact-centric information needs are rarely one-shot; users typically ask
...
Question answering over knowledge bases (KB-QA) poses challenges in hand...
Users increasingly rely on social media feeds for consuming daily
inform...
Direct answering of questions that involve multiple entities and relatio...
To bridge the gap between the capabilities of the state-of-the-art in fa...