Abstract
Pretrained language models (LMs) have advanced a range of semantic tasks and have also shown promise for knowledge extraction from the models itself. Although several works have explored this ability in a setting called probing or prompting, the viability of knowledge base construction from LMs remains underexplored. In the 3rd edition of this challenge, participants were asked to build actual disambiguated knowledge bases from LMs, for given subjects and relations. In crucial difference to existing probing benchmarks like LAMA [1], we make no simplifying assumptions on relation cardinalities, i.e., a subject-entity can stand in relation with zero, one, or many object-entities. Furthermore, submissions need to go beyond just ranking predicted surface strings and materialize disambiguated entities in the output, which will be evaluated using established KB metrics of precision and recall. The challenge has a single track for LMs with a parameter level under 10-billion to fit into low computational requirements. The challenge received 8 submissions, of which 5 submitted a paper, and 4 were accepted for presentation. The challenge was collocated with a workshop on related topics, allowing to host extended discussions, related papers, and invited talks.
Original language | English |
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Title of host publication | KBC-LM-LM-KBC 2024 Joint proceedings of the KBC-LM workshop and the LM-KBC challenge 2024 |
Subtitle of host publication | Joint proceedings of the 2nd workshop on Knowledge Base Construction from Pre-Trained Language Models (KBC-LM 2024) and the 3rd challenge on Language Models for Knowledge Base Construction (LM-KBC 2024) co-located with the 23nd International Semantic Web Conference (ISWC 2024) Baltimore, USA, November 12, 2024 |
Editors | Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jeff Z. Pan, Tuan-Phong Nguyen, Bohui Zhang |
Publisher | CEUR-WS.org |
Pages | 1-5 |
Number of pages | 5 |
Publication status | Published - 2024 |
Event | Joint of the 2nd Workshop on Knowledge Base Construction from Pre-Trained Language Models and the 3rd Challenge on Language Models for Knowledge Base Construction, KBC-LM-LM-KBC 2024 - Baltimore, United States Duration: 12 Nov 2024 → … |
Publication series
Name | CEUR Workshop Proceedings |
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Publisher | CEUR Workshop Proceedings |
Volume | 3853 |
ISSN (Print) | 1613-0073 |
Conference
Conference | Joint of the 2nd Workshop on Knowledge Base Construction from Pre-Trained Language Models and the 3rd Challenge on Language Models for Knowledge Base Construction, KBC-LM-LM-KBC 2024 |
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Country/Territory | United States |
City | Baltimore |
Period | 12/11/24 → … |
Bibliographical note
Publisher Copyright:© 2024 Copyright for this paper by its authors.