1,155 results on '"Gerhard Weikum"'
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2. CompMix: A Benchmark for Heterogeneous Question Answering.
3. FASETS: Discovering Faceted Sets of Entities.
4. CardiO: Predicting Cardinality from Online Sources.
5. TIQ: A Benchmark for Temporal Question Answering with Implicit Time Constraints.
6. Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation.
7. SIRUP: Search-based Book Recommendation Playground.
8. Conversational Search with Tail Entities.
9. Data Discovery
10. CLOCQ: A Toolkit for Fast and Easy Access to Knowledge Bases.
11. Evaluating the Knowledge Base Completion Potential of GPT.
12. Class Cardinality Comparison as a Fermi Problem.
13. Search-based Recommendation: the Case for Difficult Predictions.
14. Extracting Cultural Commonsense Knowledge at Scale.
15. Evaluating Language Models for Knowledge Base Completion.
16. Extracting Multi-valued Relations from Language Models.
17. UnCommonSense in Action! Informative Negations for Commonsense Knowledge Bases.
18. CoQEx: Entity Counts Explained.
19. Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks.
20. Approximate Query Answering over Open Data.
21. Enhancing Knowledge Bases with Quantity Facts.
22. UnCommonSense: Informative Negative Knowledge about Everyday Concepts.
23. Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases.
24. Question Entity and Relation Linking to Knowledge Bases via CLOCQ (full paper).
25. Answering Count Queries with Explanatory Evidence.
26. Conversational Question Answering on Heterogeneous Sources.
27. Unveiling Challenging Cases in Text-based Recommender Systems.
28. Personal Data for Personal Use: Vision or Reality?
29. PRIDE: Predicting Relationships in Conversations.
30. Comparing Health Forums: User Engagement, Salient Entities, Medical Detail.
31. Extracting Contextualized Quantity Facts from Web Tables.
32. Negative Knowledge for Open-world Wikidata.
33. Advanced Semantics for Commonsense Knowledge Extraction.
34. ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models.
35. SANDI: Story-and-Images Alignment.
36. AligNarr: Aligning Narratives on Movies.
37. Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering.
38. Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning.
39. Complex Temporal Question Answering on Knowledge Graphs.
40. X-Posts Explained: Analyzing and Predicting Controversial Contributions in Thematically Diverse Reddit Forums.
41. Exploring Personal Knowledge Extraction from Conversations with CHARM.
42. You Get What You Chat: Using Conversations to Personalize Search-Based Recommendations.
43. QuTE: Answering Quantity Queries from Web Tables.
44. Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs.
45. ENTYFI: A System for Fine-grained Entity Typing in Fictional Texts.
46. CHARM: Inferring Personal Attributes from Conversations.
47. Co-Clustering Triples from Open Information Extraction.
48. YAGO 4: A Reason-able Knowledge Base.
49. CounQER: A System for Discovering and Linking Count Information in Knowledge Bases.
50. RedDust: a Large Reusable Dataset of Reddit User Traits.
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