Structured knowledge bases (KBs) are an asset for search engines and other applications but are inevitably incomplete. 
Language models (LMs) have been proposed for unsupervised knowledge base completion (KBC), yet, their ability to do this at scale and with high accuracy remains an open question. 
Prior experimental studies mostly fall short because they only evaluate on popular subjects, or sample already existing facts from KBs. 
In this work, we perform a careful evaluation of GPT's 
potential to complete the largest public KB: Wikidata. 
We find that, despite their 
size and capabilities, 
models like GPT-3, ChatGPT and GPT-4 do
not achieve fully convincing results on this task. 
Nonetheless, it provides solid improvements over earlier approaches with smaller LMs. 
In particular, we show that it is feasible 
to extend Wikidata by 27M facts at 90% precision.

Evaluating the Knowledge Base Completion Potential of GPT

**Are you attending this poster session virtually?** 
In-person printed posters are available for in-person attendees only.
 
**Are you attending this poster session in person?** 
Hybrid posters are displayed in the East Foyer.

PS4 (In-person) Posters, Demo, Industry, Findings

poster

**Welcome to EMNLP 2023!**

On behalf of the EMNLP 2023 Organizing Committee, I extend a warm and heartfelt welcome to all of you to the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). It is with immense pleasure and excitement that we gather here in Singapore, a vibrant hub of innovation and technological advancement.

The conference program is packed with insightful presentations, thought-provoking workshops, and engaging networking opportunities. In addition to the technical sessions, we have also planned several social events that will provide you with the opportunity to connect with your colleagues.

The conference is held in person at the Resorts World Convention Centre in Singapore, and available on-line with the help of Underline.

For those in Singapore, I hope that you will find time to explore the exciting Sentosa Island, Gardens by the Bay, Singapore Botanic Gardens and the many other attractions unique to Singapore.

Of course, we are grateful to our sponsors and partners for their generous support of EMNLP 2023, whose contributions make it possible for us to host this world-class event.

Yuji Matsumoto (RIKEN AIP) 
EMNLP 2023 General Chair

To access the **EMNLP 2023** event page on Underline, you need to register for the Conference. 
Please follow **[this link](https://2023.emnlp.org/registration/)** for more details.

Blerta Veseli

1

SHORT BIO

Presentations

Evaluating the Knowledge Base Completion Potential of GPT

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES