| Vol-3119 urn:nbn:de:0074-3119-8 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

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

### Proceedings of the SeMantic Answer Type and Relation Prediction Task at ISWC 2021 Semantic Web Challenge (SMART2021)
co-located with the 20th International Semantic Web Conference (ISWC 2021)

### Virtual Conference, October 26th, 2021.

Edited by

### Nandana Mihindukulasooriya *
Mohnish Dubey **
Alfio Gliozzo *
Jens Lehmann **
Axel-Cyrille Ngonga Ngomo ***
Ricardo Usbeck ****
Gaetano Rossiello *
Uttam Kumar **

* IBM Research AI,T.J. Watson Research Center, Yorktown Heights, NY, USA
** University of Bonn and Fraunhofer IAIS, Germany
*** Universität Paderborn, Paderborn, Germany
**** University of Hamburg, Hamburg, Germany

## 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 Prediction 1-13
  Thang Ta Hoang, Olumide Ebenezer Ojo, Olaronke Oluwayemisi Adebanji, Hiram Calvo, Alexander Gelbukh
- Semantic Answer Type Prediction 14-22
  G P Shrivatsa Bhargav, Dinesh Khandelwal, Dinesh Garg, Saswati Dana
- The Combination of BERT and Data Oversampling for Relation Set Prediction 23-33
  Thang Ta Hoang, Sabur Butt, Jason Angel, Grigori Sidorov, Alexander Gelbukh
- Reaching out for the Answer: Relation Prediction 34-44
  Khaoula Benmaarouf, Nadine Steinmetz
- Reaching out for the Answer: Answer Type Prediction 45-55
  Kanchan Shivashankar, Khaoula Benmaarouf, Nadine Steinmetz
- Mutilingual Hierarchical Expected Answer Type Classification using the SMART 2021 Dataset 56-65
  Aleksandr Perevalov, Andreas Both
- Semantic Answer Type Prediction by Using BERT classifier and Rule-based Ranking Strategies 66-76
  Xiao Niing, Ammar Ammar, Arif Yilmaz, Shervin Mehryar, Remzi Celebi
- CitySAT: a System for the Semantic Answer Type Prediction Task 77-88
  Chaeyoon Kim, Ernesto Jiménez-Ruiz

2022-03-15: submitted by Nandana Mihindukulasooriya, metadata incl. bibliographic data published under Creative Commons CC0
2022-04-12: published on CEUR-WS.org |valid HTML5|