Semanlink - Arxiv Doc ; Knowledge Graph + Deep Learning AND Graph Embeddings

Arxiv Doc ; Knowledge Graph + Deep Learning AND Graph Embeddings

Common descendants

6 Documents

[2010.03496] Inductive Entity Representations from Text via Link Prediction

Tags:

BLP "BERT for Link Prediction". Central idea: **training an entity encoder with a
link prediction objective** (using the textual descriptions of entities when computing entity representations - hence not failing with entities unknown in training)

> a method for **learning representations
of entities**, that uses a **pre-trained Transformer** based
architecture as an entity encoder, and
**link prediction training on a knowledge graph
with textual entity descriptions**.

> using entity descriptions,
an entity encoder is trained for link prediction in
a knowledge graph. The encoder can then be used
without fine-tuning to obtain features for entity classification
and information retrieval

Cites [Xie et al](doc:2020/10/representation_learning_of_know) and [Kepler](doc:2020/11/1911_06136_kepler_a_unified_). They claim that their
objective targeted exclusively for link prediction (and not an objective that combines language modeling
and link prediction as Kepler)
performs better than Kepler's more complex one.

2020-11-03 About

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

Tags:

2020-05-11 About

[1906.01195] Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

Tags:

2020-04-30 About

[1911.02168] CoKE: Contextualized Knowledge Graph Embedding

Tags:

2020-03-22 About

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

Tags:

2020-03-03 About

[1905.07129] ERNIE: Enhanced Language Representation with Informative Entities

Tags:

2019-08-05 About