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ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous
  Knowledge Resources for Commonsense Validation and Explanation

ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation

28 July 2020
Qiang Zhao
Siyu Tao
Jie Zhou
Linlin Wang
Xin Lin
Liang He
ArXivPDFHTML

Papers citing "ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation"

5 / 5 papers shown
Title
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
244
6,420
0
26 Sep 2019
K-BERT: Enabling Language Representation with Knowledge Graph
K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu
Peng Zhou
Zhe Zhao
Zhiruo Wang
Qi Ju
Haotang Deng
Ping Wang
253
782
0
17 Sep 2019
COMET: Commonsense Transformers for Automatic Knowledge Graph
  Construction
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Antoine Bosselut
Hannah Rashkin
Maarten Sap
Chaitanya Malaviya
Asli Celikyilmaz
Yejin Choi
52
908
0
12 Jun 2019
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
181
3,093
0
19 May 2017
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
196
5,502
0
23 Nov 2015
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