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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
ArXivPDFHTML

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

19 / 19 papers shown
Title
Knowledge Enhanced Contextual Word Representations
Knowledge Enhanced Contextual Word Representations
Matthew E. Peters
Mark Neumann
IV RobertL.Logan
Roy Schwartz
Vidur Joshi
Sameer Singh
Noah A. Smith
258
657
0
09 Sep 2019
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
120
1,953
0
24 Jul 2019
Fine-tuning Pre-Trained Transformer Language Models to Distantly
  Supervised Relation Extraction
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
Christoph Alt
Marc Hübner
Leonhard Hennig
34
119
0
19 Jun 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
56
229
0
11 Dec 2018
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
961
93,936
0
11 Oct 2018
Graph Convolution over Pruned Dependency Trees Improves Relation
  Extraction
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Yuhao Zhang
Peng Qi
Christopher D. Manning
GNN
72
726
0
26 Sep 2018
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve
  how Language Models Track Agreement Information
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information
Mario Giulianelli
J. Harding
Florian Mohnert
Dieuwke Hupkes
Willem H. Zuidema
53
189
0
24 Aug 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
279
888
0
03 May 2018
AllenNLP: A Deep Semantic Natural Language Processing Platform
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner
Joel Grus
Mark Neumann
Oyvind Tafjord
Pradeep Dasigi
Nelson F. Liu
Matthew E. Peters
Michael Schmitz
Luke Zettlemoyer
VLM
50
1,280
0
20 Mar 2018
SentEval: An Evaluation Toolkit for Universal Sentence Representations
SentEval: An Evaluation Toolkit for Universal Sentence Representations
Alexis Conneau
Douwe Kiela
73
633
0
14 Mar 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
111
11,520
0
15 Feb 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
453
129,831
0
12 Jun 2017
What do Neural Machine Translation Models Learn about Morphology?
What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov
Nadir Durrani
Fahim Dalvi
Hassan Sajjad
James R. Glass
85
414
0
11 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
447
28,901
0
09 Sep 2016
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction
  Tasks
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks
Yossi Adi
Einat Kermany
Yonatan Belinkov
Ofer Lavi
Yoav Goldberg
54
543
0
15 Aug 2016
Relation Classification via Recurrent Neural Network
Relation Classification via Recurrent Neural Network
Dongxu Zhang
Dong Wang
59
346
0
05 Aug 2015
Classifying Relations by Ranking with Convolutional Neural Networks
Classifying Relations by Ranking with Convolutional Neural Networks
Cicero Nogueira dos Santos
Bing Xiang
Bowen Zhou
42
577
0
24 Apr 2015
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