Papers with RE model

1 papers
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping (D19-1)

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Challenge: Relation extraction (RE) is an important information extraction task that seeks to detect and classify semantic relationships between entities.
Approach: They propose a bilingual word embedding mapping approach for cross-lingual RE model transfer . they use a small bilingual dictionary with only 1K word pairs to embed word pairs .
Outcome: The proposed approach achieves very good performance on target and target languages . it uses bilingual word embedding mapping to transfer a source-language model .

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