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Found 3 papers, 1 papers with code
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying Scale
Our focus is on inductive link prediction models as a basis for practical tools that support knowledge engineers with exploring text collections and discovering and linking new (so-called open-world) entities to the knowledge graph.
Neural Entity Linking on Technical Service Tickets
Entity linking, the task of mapping textual mentions to known entities, has recently been tackled using contextualized neural networks.
Hamming Sentence Embeddings for Information Retrieval
In retrieval applications, binary hashes are known to offer significant improvements in terms of both memory and speed.
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