Semanlink - Graphs+Machine Learning AND KD-MKB biblio

[1909.04164] Knowledge Enhanced Contextual Word Representations

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2020-05-13 About

[1807.08447] LinkNBed: Multi-Graph Representation Learning with Entity Linkage

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2020-05-11 About

Bootstrapping Entity Alignment with Knowledge Graph Embedding | IJCAI

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2020-05-11 About

[1906.07241] Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling

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2020-05-11 About

[1902.10197] RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

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2020-03-03 About

Knowledge Graph Embedding: A Survey of Approaches and Applications - IEEE (2017)

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- "facts only" based embeddings
    - Translational Distance Models, distance-based scoring functions
       - TransE and co: entities and relations as points in vector space
           - TransH: relation-specific hyperplanes.
       - Gaussian Embeddings: entities and relations as random variables
    - Semantic matching models, similarity-based scoring functions
        - RESCAL (entities as a vector, relation as a matrix) and familiy
            - DistMult (relation as diagonal matrix)
            - Holographic Embeddings (HolE)
            - etc.
        - Matching with Neural Networks
            - SME, etc
- incorporating other info: entity types, relation paths,
textual descriptions, as well as logical rules
    - entity types
        - semantically smooth embedding
(SSE):  entities of the same type to stay close
to each other in the embedding space
        - type-embodied knowledge representation
learning (TKRL), which can handle hierarchical
entity categories and multiple category labels
- Applications in downstream tasks

2019-05-27 About