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