Векторные представления отношений

material ID: relationembeddings

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Distilling Relation Embeddings from Pretrained Language Models

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AbstractPre-trained language models have been found to capture a surprisingly rich amount of lexical knowledge, ranging from commonsense properties of everyday concepts to detailed factual knowledge about named entities. Among …...

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Integrating Lexical Information into Entity Neighbourhood Representations for Relation Prediction

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AbstractRelation prediction informed from a combination of text corpora and curated knowledge bases, combining knowledge graph completion with relation extraction, is a relatively little studied task. A system that can …...

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