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Mining Arguments From 19th Century Philosophical Texts Using Topic Based Modelling
John Lawrence
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Chris Reed
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Colin Allen
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Simon McAlister
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Andrew Ravenscroft
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
WS |
Citations
URL
Joint prediction in MST-style discourse parsing for argumentation mining
Andreas Peldszus
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Manfred Stede
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Using Context to Predict the Purpose of Argumentative Writing Revisions
Fan Zhang
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Diane Litman
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From Argumentation Mining to Stance Classification
Parinaz Sobhani
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Diana Inkpen
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Stan Matwin
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Combining Argument Mining Techniques
John Lawrence
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Chris Reed
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Identifying Argument Components through TextRank
Georgios Petasis
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Vangelis Karkaletsis
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Mining Argumentative Structure from Natural Language text using Automatically Generated Premise-Conclusion Topic Models
John Lawrence
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Chris Reed
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Using Complex Argumentative Interactions to Reconstruct the Argumentative Structure of Large-Scale Debates
John Lawrence
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Chris Reed
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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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http://arg.dundee.ac.uk/analysiswall
http://www.nltk.org/
http://www.phil.cmu.edu/projects/
http://ova.computing.dundee.ac.uk
Field Of Study
Linguistic Trends
Discourse
Task
Sentiment Analysis
Approach
Deep Learning
Language
English
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