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Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger
|
Johannes Daxenberger
|
Iryna Gurevych
|
Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!
Steffen Eger
|
Johannes Daxenberger
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Christian Stab
|
Iryna Gurevych
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Towards an argumentative content search engine using weak supervision
Ran Levy
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Ben Bogin
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Shai Gretz
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Ranit Aharonov
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Noam Slonim
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What is the Essence of a Claim? Cross-Domain Claim Identification
Johannes Daxenberger
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Steffen Eger
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Ivan Habernal
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Christian Stab
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Iryna Gurevych
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Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models
Anne Lauscher
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Goran Glavaš
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Simone Paolo Ponzetto
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Kai Eckert
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Cross-topic Argument Mining from Heterogeneous Sources
Christian Stab
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Tristan Miller
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Benjamin Schiller
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Pranav Rai
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Iryna Gurevych
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Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
Steffen Eger
|
Paul Youssef
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Iryna Gurevych
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Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices
Ivan Habernal
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Patrick Pauli
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Iryna Gurevych
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Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines
Milagro Teruel
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Cristian Cardellino
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Fernando Cardellino
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Laura Alonso Alemany
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Serena Villata
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Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset
Pavithra Rajendran
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Danushka Bollegala
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Simon Parsons
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Multi-Task Learning for Argumentation Mining in Low-Resource Settings
Claudia Schulz
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Steffen Eger
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Johannes Daxenberger
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Tobias Kahse
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Iryna Gurevych
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ArgumenText: Searching for Arguments in Heterogeneous Sources
Christian Stab
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Johannes Daxenberger
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Chris Stahlhut
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Tristan Miller
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Benjamin Schiller
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Christopher Tauchmann
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Steffen Eger
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Iryna Gurevych
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Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays
Winston Carlile
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Nishant Gurrapadi
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Zixuan Ke
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Vincent Ng
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Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining
Eyal Shnarch
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Carlos Alzate
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Lena Dankin
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Martin Gleize
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Yufang Hou
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Leshem Choshen
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Ranit Aharonov
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Noam Slonim
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Unit Segmentation of Argumentative Texts
Yamen Ajjour
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Wei-Fan Chen
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Johannes Kiesel
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Henning Wachsmuth
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Benno Stein
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End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture
Gaku Morio
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Katsuhide Fujita
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Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates
Paul Reisert
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Naoya Inoue
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Tatsuki Kuribayashi
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Kentaro Inui
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PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection
Steffen Eger
|
Andreas Rücklé
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Iryna Gurevych
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Cross-Lingual Argumentative Relation Identification: from English to Portuguese
Gil Rocha
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Christian Stab
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Henrique Lopes Cardoso
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Iryna Gurevych
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https://doi.org/10.18653/v1/P17-1002
https://doi.org/10.18653/v1/P17-1002
http://www.ukp.tu-darmstadt.de
https://github.com/UKPLab/
https://doi.org/10.1023/A:1007379606734
https://doi.org/10.1145/1390156.1390177
http://arxiv.org/abs/1601.02403
https://doi.org/10.1162/neco.1997.9.8.1735
http://arxiv.org/abs/1508.01991
http://www.aclweb.org/anthology/P16-1101
https://doi.org/10.3115/1220575.1220641
http://www.aclweb.org/anthology/P16-1105
https://doi.org/10.1145/1276318.1276362
http://www.aclweb.org/anthology/D13-1032
https://doi.org/10.1145/1568234.1568246
http://aclweb.org/anthology/D15-1110
http://arxiv.org/abs/1608.02689
http://www.aclweb.org/anthology/N16-1164
https://arxiv.org/abs/1612.08994
http://anthology.aclweb.org/P16-2038
https://doi.org/10.1016/j.ipm.2009.03.002
http://arxiv.org/abs/1604.07370
http://www.aclweb.org/anthology/P13-1161
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Tagging
Discourse Parsing
Summarization
Machine Translation
Argumentation Mining
Social Science
Approach
Kernel Method
Structured Prediction
Representation Learning
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