Semanlink - A2N: Attending to Neighbors for Knowledge Graph Inference

A2N: Attending to Neighbors for Knowledge Graph Inference - ACL 2019

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sl:bookmarkOf : https://www.aclweb.org/anthology/papers/P/P19/P19-1431/
sl:creationDate : 2019-07-31
sl:creationTime : 2019-07-31T19:37:20Z

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Bookmark of: https://www.aclweb.org/anthology/papers/P/P19/P19-1431/

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> a neural language model that includes **an explicit interface between symbolically interpretable factual information and subsymbolic neural knowledge.**... **The model can be updated without re-training by manipulating its symbolic representations**. In particular this model allows us to add new facts and overwrite existing ones.

> a **neural language model which learns to access information
in a symbolic knowledge graph.**

> This
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> After training EaE, the embedding associated
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> we include an additional
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> This combination results in a
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TODO:

- read again IBM's [Span Selection Pre-training for Question Answering](doc:2019/09/_1909_04120_span_selection_pre) ("an effort to avoid encoding general knowledge in the transformer network itself")
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