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Probing Linguistic Features of Sentence-Level Representations in Neural
  Relation Extraction

Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction

17 April 2020
Christoph Alt
Aleksandra Gabryszak
Leonhard Hennig
    NAI
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Papers citing "Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction"

6 / 6 papers shown
Title
SpanBERT: Improving Pre-training by Representing and Predicting Spans
SpanBERT: Improving Pre-training by Representing and Predicting Spans
Mandar Joshi
Danqi Chen
Yinhan Liu
Daniel S. Weld
Luke Zettlemoyer
Omer Levy
113
1,953
0
24 Jul 2019
Improving Relation Extraction by Pre-trained Language Representations
Improving Relation Extraction by Pre-trained Language Representations
Christoph Alt
Marc Hübner
Leonhard Hennig
VLM
38
87
0
07 Jun 2019
Semantic Relation Classification via Bidirectional LSTM Networks with
  Entity-aware Attention using Latent Entity Typing
Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing
Joohong Lee
Sang-gyu Seo
Y. Choi
47
116
0
23 Jan 2019
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using
  Side Information
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Shikhar Vashishth
Rishabh Joshi
Sai Suman Prayaga
Chiranjib Bhattacharyya
Partha P. Talukdar
54
229
0
11 Dec 2018
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
274
888
0
03 May 2018
Relation Classification via Recurrent Neural Network
Relation Classification via Recurrent Neural Network
Dongxu Zhang
Dong Wang
56
346
0
05 Aug 2015
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