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Cross-topic Argument Mining from Heterogeneous Sources Using
  Attention-based Neural Networks

Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks

15 February 2018
Christian Stab
Tristan Miller
Iryna Gurevych
ArXivPDFHTML

Papers citing "Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks"

15 / 15 papers shown
Title
A Dataset Independent Set of Baselines for Relation Prediction in
  Argument Mining
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining
O. Cocarascu
Elena Cabrio
S. Villata
Francesca Toni
78
7
0
14 Feb 2020
Reporting Score Distributions Makes a Difference: Performance Study of
  LSTM-networks for Sequence Tagging
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
Nils Reimers
Iryna Gurevych
70
437
0
31 Jul 2017
Understanding and Detecting Supporting Arguments of Diverse Types
Understanding and Detecting Supporting Arguments of Diverse Types
Xinyu Hua
Lu Wang
41
29
0
28 Apr 2017
Adversarial Multi-Criteria Learning for Chinese Word Segmentation
Adversarial Multi-Criteria Learning for Chinese Word Segmentation
Xinchi Chen
Zhan Shi
Xipeng Qiu
Xuanjing Huang
59
174
0
25 Apr 2017
What is the Essence of a Claim? Cross-Domain Claim Identification
What is the Essence of a Claim? Cross-Domain Claim Identification
Johannes Daxenberger
Steffen Eger
Ivan Habernal
Christian Stab
Iryna Gurevych
61
96
0
24 Apr 2017
Neural End-to-End Learning for Computational Argumentation Mining
Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger
Johannes Daxenberger
Iryna Gurevych
60
193
0
20 Apr 2017
Adversarial Multi-task Learning for Text Classification
Adversarial Multi-task Learning for Text Classification
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
136
612
0
19 Apr 2017
Parsing Argumentation Structures in Persuasive Essays
Parsing Argumentation Structures in Persuasive Essays
Christian Stab
Iryna Gurevych
58
438
0
25 Apr 2016
Contextual LSTM (CLSTM) models for Large scale NLP tasks
Contextual LSTM (CLSTM) models for Large scale NLP tasks
Shalini Ghosh
Oriol Vinyals
B. Strope
Scott Roy
Tom Dean
Larry Heck
47
213
0
19 Feb 2016
Learning Natural Language Inference with LSTM
Learning Natural Language Inference with LSTM
Shuohang Wang
Jing Jiang
102
446
0
30 Dec 2015
Reasoning about Entailment with Neural Attention
Reasoning about Entailment with Neural Attention
Tim Rocktaschel
Edward Grefenstette
Karl Moritz Hermann
Tomás Kociský
Phil Blunsom
NAI
62
762
0
22 Sep 2015
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
344
3,547
0
10 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
558
27,311
0
01 Sep 2014
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
394
33,529
0
16 Oct 2013
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