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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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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
ArgMining |
WS |
Citations
URL
Retrieval of the Best Counterargument without Prior Topic Knowledge
Henning Wachsmuth
|
Shahbaz Syed
|
Benno Stein
|
Evidence Types, Credibility Factors, and Patterns or Soft Rules for Weighing Conflicting Evidence: Argument Mining in the Context of Legal Rules Governing Evidence Assessment
Vern R. Walker
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Dina Foerster
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Julia Monica Ponce
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Matthew Rosen
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http://corpora.aifdb
http://www.bbc.co.uk/programmes/
http://www.bbc.co.uk/programmes/
http://www.crummy.com/software/
http://www.nltk.org/
https://radimrehurek.com/gensim/
Field Of Study
Linguistic Trends
Discourse
Task
Sentiment Analysis
Argumentation Mining
Biomedical
Language
English
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