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Hits 1 – 12 of 12
1
Annotating topics, stance, argumentativeness and claims in Dutch social media comments: A pilot study ...
The 28th International Conference on Computational Linguistics 2020
;
., Els
;
Bauwelinck, Nina
. - : Underline Science Inc., 2020
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2
News Aggregation with Diverse Viewpoint Identification Using Neural Embeddings and Semantic Understanding Models ...
The 28th International Conference on Computational Linguistics 2020
;
Carlebach, Mark
;
Cheruvu, Ria
. - : Underline Science Inc., 2020
BASE
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3
Annotation and Detection of Arguments in Tweets ...
The 28th International Conference on Computational Linguistics 2020
;
Schaefer, Robin
;
Stede, Manfred
. - : Underline Science Inc., 2020
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4
Aspect-Based Argument Mining ...
The 28th International Conference on Computational Linguistics 2020
;
Trautmann, Dietrich
. - : Underline Science Inc., 2020
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5
Creating a Domain-diverse Corpus for Theory-based Argument Quality Assessment ...
The 28th International Conference on Computational Linguistics 2020
;
., Joel
;
Lauscher, Anne
. - : Underline Science Inc., 2020
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6
Annotating argumentation in Swedish social media ...
The 28th International Conference on Computational Linguistics 2020
;
Lindahl, Anna
. - : Underline Science Inc., 2020
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7
Use of Claim Graphing and Argumentation Schemes in Biomedical Literature: A Manual Approach to Analysis ...
The 28th International Conference on Computational Linguistics 2020
;
Mercer, Robert
;
Moser, Eli
. - : Underline Science Inc., 2020
Abstract:
Argumentation in an experimental life science paper consists of a main claim being supported with reasoned argumentative steps based on the data garnered from the experiments that were carried out. In this paper we report on an investigation of the large scale argumentation structure found when examining five biochemistry journal publications. One outcome of this investigation of biochemistry articles suggests that argumentation schemes originally designed for genetic research articles may transfer to experimental biomedical literature in general. Our use of these argumentation schemes shows that claims depend not only on experimental data but also on other claims. The tendency for claims to use other claims as their supporting evidence in addition to the experimental data led to two novel models that have provided a better understanding of the large scale argumentation structure of a complete biochemistry paper. First, the claim graph displays the claims within a paper, their interactions, and their ...
Keyword:
Computer and Information Science
;
Digital Media
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://underline.io/lecture/6470-use-of-claim-graphing-and-argumentation-schemes-in-biomedical-literature-a-manual-approach-to-analysis
https://dx.doi.org/10.48448/8v0m-6b79
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8
Exploring Morality in Argumentation ...
The 28th International Conference on Computational Linguistics 2020
;
Hulpuș, Ioana
;
Kobbe, Jonathan
. - : Underline Science Inc., 2020
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9
DebateSum: A large-scale argument mining and summarization dataset ...
The 28th International Conference on Computational Linguistics 2020
;
Balaji, Arvind
;
Roush, Allen
. - : Underline Science Inc., 2020
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10
ECHR: Legal Corpus for Argument Mining ...
The 28th International Conference on Computational Linguistics 2020
;
Gonccalves, Teresa
;
Ieven, Aagje
. - : Underline Science Inc., 2020
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11
Semi-Supervised Cleansing of Web Argument Corpora ...
The 28th International Conference on Computational Linguistics 2020
;
Dorsch, Jonas
;
Wachsmuth, Henning
. - : Underline Science Inc., 2020
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12
Style Analysis of Argumentative Texts by Mining Rhetorical Devices ...
The 28th International Conference on Computational Linguistics 2020
;
Khatib, Khalid
;
Morari, viorel
. - : Underline Science Inc., 2020
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