SMART 2021SeMantic Answer Type and Relation Prediction Task at ISWC 2021 Semantic Web Challenge (SMART2021)

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

• The Combination of BERT and Data Oversampling for Answer Type Prediction1-13
  Thang Ta Hoang, Olumide Ebenezer Ojo, Olaronke Oluwayemisi Adebanji, Hiram Calvo, Alexander Gelbukh
  
• Semantic Answer Type Prediction14-22
  G P Shrivatsa Bhargav, Dinesh Khandelwal, Dinesh Garg, Saswati Dana
  
• The Combination of BERT and Data Oversampling for Relation Set Prediction23-33
  Thang Ta Hoang, Sabur Butt, Jason Angel, Grigori Sidorov, Alexander Gelbukh
  
• Reaching out for the Answer: Relation Prediction34-44
  Khaoula Benmaarouf, Nadine Steinmetz
  
• Reaching out for the Answer: Answer Type Prediction45-55
  Kanchan Shivashankar, Khaoula Benmaarouf, Nadine Steinmetz
  
• Mutilingual Hierarchical Expected Answer Type Classification using the SMART 2021 Dataset56-65
  Aleksandr Perevalov, Andreas Both
  
• Semantic Answer Type Prediction by Using BERT classifier and Rule-based Ranking Strategies66-76
  Xiao Niing, Ammar Ammar, Arif Yilmaz, Shervin Mehryar, Remzi Celebi
  
• CitySAT: a System for the Semantic Answer Type Prediction Task77-88
  Chaeyoon Kim, Ernesto Jiménez-Ruiz