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Article . 2017
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Article . 2017
License: CC BY
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Unit Segmentation for Argumentative Texts

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 24 Aug 2017Publisher:Zenodo
Authors: Ajjour, Yamen; Wei-Fan Chen; Johannes Kiesel; Benno Stein;

doi: 10.5281/zenodo.7810774 , 10.5281/zenodo.7810775

Unit Segmentation for Argumentative Texts

Abstract

These is the data used in the paper Unit Segmentation for Argumentative Text including - Corss-domain experiments simple ( features used in Ajjour et al., 2017) struc-synt-lexosynt-prob (features used in Stab et al., 2017) - In-domain experiments (Cross-validation) simple ( features used in Ajjour et al., 2017) struc-synt-lexosynt-prob (features used in Stab et al., 2017) Cite Yamen Ajjour, Wei-Fan Chen, Johannes Kiesel, Henning Wachsmuth, and Benno Stein. Unit Segmentation of Argumentative Texts. In Kevin Ashley et al., editors, 4th Workshop on Argument Mining (ArgMining 2017) at EMNLP, pages 118-128, September 2017. Association for Computational Linguistics.

Keywords

Comptutational Argumentation

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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