KBC-LM + LM-KBC 2023
Joint proceedings of the KBC-LM workshop and the LM-KBC challenge @ ISWC 2023

Table of Contents

There were a total of 16 submissions to both events, 8 for the workshop, 8 for the challenge. We accepted 14 papers and one overview article for this volume.

KBC-LM Workshop

• Language Models as Knowledge Bases for Visual Word Sense Disambiguation
  Anastasia Kritharoula, Maria Lymperaiou, Giorgos Stamou
• Extracting Geographic Knowledge from Large Language Models: An Experiment
  Konstantinos Salmas, Despina Athanasia Pantazi, Manolis Koubarakis
• Cross-validation of Answers with SUMO and GPT
  Dan Lupu, Adrian Groza, Adam Pease
• Do Instruction-tuned Large Language Models Help with Relation Extraction?
  Xue Li, Fina Polat, Paul Groth
• Towards Ontology Construction with Language Models
  Maurice Funk, Simon Hosemann, Jean Christoph Jung, Carsten Lutz
• Towards syntax-aware pretraining and prompt engineering for knowledge retrieval from large language models
  Stefan Dietze, Hajira Jabeen, Laura Kallmeyer, Stephan Linzbach
• Can large language models generate salient negative statements?
  Hiba Arnaout, Simon Razniewski

LM-KBC Challenge

• Preface: LM-KBC Challenge 2023
  Sneha Singhania, Jan-Christoph Kalo, Simon Razniewski, Jeff Z. Pan
  
  
• Limits of Zero-shot Probing on Object Prediction
  Shrestha Ghosh
• Knowledge-centric Prompt Composition for Knowledge Base Construction from Pre-trained Language Models
  Xue Li, Anthony James Hughes, Majlinda Llugiqi, Fina Polat, Paul Groth, Fajar J. Ekaputra
• Enhancing Knowledge Base Construction from Pre-trained Language Models using Prompt Ensembles
  Fabian Biester, Daniel Del Gaudio, Mohamed Abdelaal
• Expanding the Vocabulary of BERT for Knowledge Base Construction
  Dong Yang, Xu Wang, Remzi Celebi
• Broadening BERT vocabulary for Knowledge Graph Construction using Wikipedia2Vec
  Debanjali Biswas, Stephan Linzbach, Dimitar Dimitrov, Hajira Jabeen, Stefan Dietze
• LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language Models
  Anmol Nayak, Hariprasad Timmapathini
• Using Large Language Models for Knowledge Engineering (LLMKE): A Case Study on Wikidata
  Bohui Zhang, Ioannis Reklos, Nitisha Jain, Albert Meroño-Peñuela, Elena Simperl