Publications (18)
"I'd rather just go to bed": Understanding Indirect Answers
Annie Louis, Dan Roth, Filip Radlinski
We revisit a pragmatic inference problem in dialog: understanding indirect responses to questions. Humans can interpret 'I'm starving.' in response to 'Hungry?', even without direc…
Query Chains: Learning to Rank from Implicit Feedback
Filip Radlinski, Thorsten Joachims
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform a…
Resolving Indirect Referring Expressions for Entity Selection
Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti +1
Recent advances in language modeling have enabled new conversational systems. In particular, it is often desirable for people to make choices among specified options when using suc…
SocialQuotes: Learning Contextual Roles of Social Media Quotes on the Web
John Palowitch, Hamidreza Alvari, Mehran Kazemi +2
Web authors frequently embed social media to support and enrich their content, creating the potential to derive web-based, cross-platform social media representations that can enab…
Towards Realistic Synthetic User-Generated Content: A Scaffolding Approach to Generating Online Discussions
Krisztian Balog, John Palowitch, Barbara Ikica +3
The emergence of synthetic data represents a pivotal shift in modern machine learning, offering a solution to satisfy the need for large volumes of data in domains where real data…
Common Conversational Community Prototype: Scholarly Conversational Assistant
Krisztian Balog, Lucie Flekova, Matthias Hagen +6
This paper discusses the potential for creating academic resources (tools, data, and evaluation approaches) to support research in conversational search, by focusing on realistic i…