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Relation Extraction with Contextualized Relation Embedding (CRE)

Relation Extraction with Contextualized Relation Embedding (CRE)

19 November 2020
Xiaoyu Chen
Rohan Badlani
ArXivPDFHTML

Papers citing "Relation Extraction with Contextualized Relation Embedding (CRE)"

6 / 6 papers shown
Title
Connecting Language and Knowledge with Heterogeneous Representations for
  Neural Relation Extraction
Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction
Peng Xu
Denilson Barbosa
28
39
0
25 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
870
93,936
0
11 Oct 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
422
129,831
0
12 Jun 2017
Complex Embeddings for Simple Link Prediction
Complex Embeddings for Simple Link Prediction
Théo Trouillon
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
BDL
63
2,955
0
20 Jun 2016
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
275
33,445
0
16 Oct 2013
Connecting Language and Knowledge Bases with Embedding Models for
  Relation Extraction
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction
Jason Weston
Antoine Bordes
Oksana Yakhnenko
Nicolas Usunier
61
245
0
30 Jul 2013
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