Task-specific Pre-training and Prompt Decomposition for Knowledge Graph Population with Language Models

Reasoning With Neural Tensor Networks for Knowledge Base Completion,

R. Socher, D. Chen, C. D. Manning, A. Ng, · 2013

Earlier work this paper cites.

Translating Embeddings for Modeling Multi-relational Data,

A. Bordes, N. Usunier, A. Garcia-Duran, J. Weston, O. Yakhnenko, · 2013

Earlier work this paper cites.

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,

J. Devlin, M.-W. Chang, K. Lee, K. Toutanova, · 2019

Cited alongside, same era.

Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks,

S. Gururangan, A. Marasović, S. Swayamdipta, K. Lo, I. Beltagy, D. Downey, N. A. Smith, · 2020

Cited alongside, same era.

Wikidata: a free collaborative knowledgebase: Communications of the ACM: Vol 57, No 10, ???? URL: https://dl.acm.org/doi/10.1145/2629489

Cited in the paper.

How Can We Know What Language Models Know?,

Z. Jiang, F. F. Xu, J. Araki, G. Neubig, · 2020

Later among the works it cites.

D. Alivanistos, S. B. Santamaría, M. Cochez, J.-C. Kalo, E. van Krieken, T. Thanapalasingam, Prompting as Probing: Using Language Models for Knowledge Base Construction, 2022. URL: http://arxiv.org/abs/2208.11057 , arXiv:2208.11057 [cs]

Original

2022

Closest in time.