Papers by Andrea Papaluca

1 papers
Pretrained Knowledge Base Embeddings for improved Sentential Relation Extraction (2022.acl-srw)

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Challenge: Existing models that perform explicit on-task training of graph embeddings are inadequate.
Approach: They propose to combine pretrained knowledge base graph embeddings with transformer based language models to improve performance on sentential Relation Extraction task.
Outcome: The proposed model outperforms state-of-the-art models on the sentential Relation Extraction task.

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