Papers with large-scale text-to-entity mapping and entity classification tasks

1 papers
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs (D18-1)

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Challenge: a paper addresses the problem of mapping natural language text to knowledge base entities.
Approach: They propose a model for mapping natural language text to knowledge base entities using a multi-dimensional entity space obtained from a knowledge graph.
Outcome: The proposed model is applied to large-scale text-to-entity mapping and entity classification tasks with state-of-the-art results.

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