| Vol-3274 urn:nbn:de:0074-3274-1 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).

# LM-KBC 2022
Knowledge Base Construction from Pre-trained Language Models 2022

### Proceedings of the Semantic Web Challenge on Knowledge Base Construction from Pre-trained Language Models 2022
co-located with the 21st International Semantic Web Conference (ISWC2022)

### Virtual Event, Hanghzou, China, October 2022.

Edited by

### Sneha Singhania
Tuan-Phong Nguyen
Simon Razniewski

* Max Planck Institute for Informatics, Saarbrücken, Germany

## Table of Contents

### Challenge overview

- LM-KBC: Knowledge Base Construction from Pre-trained Language Models 1-10
  Sneha Singhania, Tuan-Phong Nguyen, Simon Razniewski
  Summary: There were a total of 8 submissions to the two tracks of the challenge. Out of these, 6 teams submitted a paper for peer review (including one dataset paper). We accepted all 6 papers for this volume.

### System papers

- Prompting as Probing: Using Language Models for Knowledge Base Construction 11-34
  Dimitrios Alivanistos, Selene Baez Santamaria, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam
- Task-specific Pre-training and Prompt Decomposition for Knowledge Graph Population with Language Models 35-45
  Tianyi Li, Wenyu Huang, Nikos Papasarantopoulos, Pavlos Vougiouklis, Jeff Z. Pan
- Knowledge Base Construction from Pre-trained Language Models by Prompt learning 46-54
  Xiao Ning, Remzi Celebi
- Prompt Design and Answer Processing for Knowledge Base Construction from Pre-trained Language Models 55-66
  Xiao Fang, Alex Kalinowski, Haoran Zhao, Ziao You, Yuhao Zhang, Yuan An
- Manual Prompt Generation For Language Model Probing 67-76
  Sumit Dalal, Abhisek Sharma, Sarika Jain, Mayank Dave

2022-10-12: submitted by Simon Razniewski, metadata incl. bibliographic data published under Creative Commons CC0
2022-11-16: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|