SMART 2020SeMantic AnsweR Type Prediction Task at ISWC 2020 Semantic Web Challenge

Table of Contents

• Preface
  Summary: There were eight systems that participated in the SMART 2020 challenge and this volume contains 8 peer-reviewed system papers corresponding to those systems.

System Papers

• Augmentation-based Answer Type Classification of the SMART dataset (short paper)1-9
  Aleksandr Perevalov, Andreas Both
  
• Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020 (short paper)10-18
  Vinay Setty, Krisztian Balog
  
• Two-stage Semantic Answer Type Prediction for Question Answering using BERT and Class-Specificity Rewarding19-28
  Christos Nikas, Pavlos Fafalios, Yannis Tzitzikas
  
• COALA - A Rule-Based Approach to Answer Type Prediction29-40
  Nadine Steinmetz, Kai-Uwe Sattler
  
• A Methodology for Hierarchical Classification of Semantic Answer Types of Questions (short paper)41-48
  Ammar Ammar, Shervin Mehryar, Remzi Celebi
  
• Hierarchical Contextualized Representation Models for Answer Type Prediction (short paper)49-56
  Natthawut Kertkeidkachorn, Rungsiman Nararatwong, Phuc Nguyen, Ikuya Yamada, Hideaki Takeda, Ryutaro Ichise
  
• Fine and Ultra-Fine Entity Type Embeddings for Question Answering57-70
  Sai Vallurupalli, Jennifer Sleeman, Tim Finin
  
• Question Embeddings for Semantic Answer Type Prediction71-80
  Eleanor Bill, Ernesto Jiménez-Ruiz