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The evolution of argumentation mining: From models to social media and emerging tools
Abstract Argumentation mining is a rising subject in the computational linguistics domain
focusing on extracting structured arguments from natural text, often from unstructured or …
focusing on extracting structured arguments from natural text, often from unstructured or …
Making sense of citizens' input through artificial intelligence: a review of methods for computational text analysis to support the evaluation of contributions in public …
Public sector institutions that consult citizens to inform decision-making face the challenge of
evaluating the contributions made by citizens. This evaluation has important democratic …
evaluating the contributions made by citizens. This evaluation has important democratic …
How do peer awards motivate creative content? Experimental evidence from Reddit
We theorize peer awards' effects on the volume and novelty of creative user-generated
content (UGC) produced at online platform communities. We then test our hypotheses via a …
content (UGC) produced at online platform communities. We then test our hypotheses via a …
Towards argument mining for social good: A survey
EM Vecchi, N Falk, I Jundi… - Proceedings of the 59th …, 2021 - aclanthology.org
This survey builds an interdisciplinary picture of Argument Mining (AM), with a strong focus
on its potential to address issues related to Social and Political Science. More specifically …
on its potential to address issues related to Social and Political Science. More specifically …
Harnessing Toulmin's theory for zero-shot argument explication
To better analyze informal arguments on public forums, we propose the task of argument
explication, which makes explicit a text's argumentative structure and implicit reasoning by …
explication, which makes explicit a text's argumentative structure and implicit reasoning by …
Is your perspective also my perspective? enriching prediction with subjectivity
J Romberg - Proceedings of the 9th Workshop on Argument …, 2022 - aclanthology.org
Although argumentation can be highly subjective, the common practice with supervised
machine learning is to construct and learn from an aggregated ground truth formed from …
machine learning is to construct and learn from an aggregated ground truth formed from …
GORGIAS: Applying argumentation
AC Kakas, P Moraitis… - Argument & …, 2018 - journals.sagepub.com
This paper presents the past and present efforts of develo** real-life applications of
argumentation with the Gorgias preference-based structured argumentation framework of …
argumentation with the Gorgias preference-based structured argumentation framework of …
[PDF][PDF] El proceso normativo ante el avance tecnológico y la transformación digital (inteligencia artificial, redes sociales y datos masivos)
DC Ametller - Revista general de Derecho administrativo, 2019 - academia.edu
Este artículo describe cómo el avance tecnológico y la transformación digital puede afectar
al proceso de elaboración de disposiciones reglamentarias en España. En concreto, se …
al proceso de elaboración de disposiciones reglamentarias en España. En concreto, se …
[PDF][PDF] A Deep Modular RNN Approach for Ethos Mining.
Automatically recognising and extracting the reasoning expressed in natural language text
is extremely demanding and only very recently has there been significant headway. While …
is extremely demanding and only very recently has there been significant headway. While …
AI Within Online Discussions: Rational, Civil, Privileged? Ethical Considerations on the Interference of AI in Online Discourse
JA Carstens, D Friess - Minds and Machines, 2024 - Springer
While early optimists have seen online discussions as potential spaces for deliberation, the
reality of many online spaces is characterized by incivility and irrationality. Increasingly, AI …
reality of many online spaces is characterized by incivility and irrationality. Increasingly, AI …