CET 09:00-12:30
Beijing 15:00-18:30
Sydney 17:00-20:30
New York 03:00-06:30
San Francisco 00:00-03:30
Speakers:
Rishiraj Saha Roy (Max Planck Institute for Informatics, Saarbrücken, Germany)
Avishek Anand (L3S Research Center, Hannover, Germany)
Part 1 Question Answering over Knowledge Graphs [90 minutes]
– Background
– Simple QA
– Complex QA
– Heterogeneous QA
– Conversational QA
– Summary
Break
Part 2 Question Answering over Textual Sources [90 minutes]
– Background
– Machine Reading
– Open-domain QA
– Feedback and Interpretability
– Conversational QA
– Summary
CET 17:00-20:30
Beijing 23:00-02:30
Sydney 01:00-04:30
New York 11:00-14:30
San Francisco 08:00-11:30
Speaker:
Haggai Roitman (eBay Research)
Part 1: Introduction to Query Performance Prediction in IR
– Task definition and Motivation
– Core challenges and potential applications
– QPP evaluation
– Pre-retrieval QPP
– Post-retrieval QPP
– Towards QPP theory: basic QPP frameworks
Part 2: Modern QPP Frameworks
– The Probabilistic QPP framework
– QPP and Cluster Ranking
– Query-based vs. Ranking-based QPP
– Score Distribution QPP frameworks
– Generalized Post-retrieval QPP framework: The Weighted Product Model
– Reference Lists and the role of Asymmetric Co-Relevance
– QPP with minimal relevance feedback
– Neural QPP frameworks
Part 3: Task-specific QPP Methods
– Query processing and evaluation
– Passage-retrieval and QA
– Fusion
– Semantic Search
– Conversational-search