ACL(WS)-2022-Pretrained Knowledge Base Embeddings for improved Sentential Relation Extraction

[BrambleXu]

Summary:

本研究将pretrained knowledge base graph embeddings和transformer结合，用于提升sentential Relation Extraction的性能。具体来说，提案的模型基于off-task pretrained graph embeddings和an on-task finetuned BERT encoder。性能不仅很好，而且还观测到了BERT模型的学习行为。

Resource:

• Pretrained Knowledge Base Embeddings for improved Sentential Relation Extraction
• brunoliegibastonliegi/pretrained-kb-embeddings-for-re
• [paper-with-code](

Paper information:

• Author:
• Dataset: Wikidat, NYT
• keywords:

这两个数据集都是用DS方法制作的

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