SMART 2020 SeMantic 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 Rewarding 19 - 28
  Christos Nikas , Pavlos Fafalios , Yannis Tzitzikas
  
• COALA - A Rule-Based Approach to Answer Type Prediction 29 - 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 Answering 57 - 70
  Sai Vallurupalli , Jennifer Sleeman , Tim Finin
  
• Question Embeddings for Semantic Answer Type Prediction 71 - 80
  Eleanor Bill , Ernesto Jiménez-Ruiz