Wiki-based Prompts for Enhancing Relation Extraction using Language Models-Reference-Cited by-同舟云学术

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Wiki-based Prompts for Enhancing Relation Extraction using Language Models

Published:2024-04-08 Issue: Volume:33 Page:731-740
ISSN:
Container-title:Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
language:
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Author:

Layegh Amirhossein¹^ORCID,Payberah Amir H.¹^ORCID,Soylu Ahmet²^ORCID,Roman Dumitru³^ORCID,Matskin Mihhail¹^ORCID

Affiliation:

1. KTH Royal Institute of Technology, Stockholm, Sweden

2. Oslo Metropolitan University, Oslo, Norway

3. SINTEF AS, Oslo, Norway

Funder

DataCloud

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605098.3635949

Reference51 articles.

1. TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

2. RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network

3. Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning

4. On the Dangers of Stochastic Parrots

5. Language models are few-shot learners;Brown Tom;NeurIPS,2020

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