Results 41 to 50 of about 1,930,637 (304)
Entity Coreference and Co-occurrence Aware Argument Mining from Biomedical Literature
CODI, 2023 Biomedical argument mining (BAM) aims at automatically identifying the argumentative structure in biomedical texts. However, identifying and classifying argumentative relations (AR) between argumentative components (AC) is challenging since it not only ...
Boyang Liu +3 more
semanticscholar +1 more source
What changed your mind : the roles of dynamic topics and discourse in argumentation process [PDF]
, 2020 In our world with full of uncertainty, debates and argumentation contribute to the progress of science and society. Despite of the in- creasing attention to characterize human arguments, most progress made so far focus on the debate outcome, largely ...
Bahdanau Dzmitry +16 more
core +2 more sources
End-to-End Argument Mining over Varying Rhetorical Structures [PDF]
Annual Meeting of the Association for Computational LinguisticsRhetorical Structure Theory implies no single discourse interpretation of a text, and the limitations of RST parsers further exacerbate inconsistent parsing of similar structures.
Elena Chistova
semanticscholar +1 more source
Mining Inter-Document Argument Structures in Scientific Papers for an Argument Web [PDF]
Transactions on Graph Data and KnowledgeIn Argument Mining, predicting argumentative relations between texts (or spans) remains one of the most challenging aspects, even more so in the cross-document setting. This paper makes three key contributions to advance research in this domain. We first
Ruosch, Florian +2 more
doaj +1 more source
ACM Transactions on Internet Technology, 2016 Argumentation mining aims at automatically extracting structured arguments from unstructured textual documents. It has recently become a hot topic also due to its potential in processing information originating from the Web, and in particular from social media, in innovative ways.
LIPPI, MARCO, TORRONI, PAOLO
openaire +2 more sources
Harnessing Rhetorical Figures for Argument Mining:A Pilot Study in Relating Figures of Speech to Argument Structure [PDF]
, 2017 The generalised, automated reconstruction of the reasoning structures underlying persuasive communication is an enormously challenging task. While this work in argument mining is increasingly informed by the rich tradition of argumentation studies ...
Chesñevar +11 more
core +2 more sources
Dimensionality Reduction for Machine Learning-based Argument Mining
Workshop on Argument Mining, 2023 Recent approaches to argument mining have focused on training machine learning algorithms from annotated text corpora, utilizing as input high-dimensional linguistic feature vectors.
Andrés Segura-Tinoco, Iván Cantador
semanticscholar +1 more source
Argument Mining on Twitter: Arguments, Facts and Sources [PDF]
Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing, 2017 Las redes sociales recopilan y difunden en la web opiniones personales, hechos, noticias falsas y todo tipo de información en la que los usuarios pueden estar interesados. Aplicar métodos de minería de argumentos a fuentes de datos tan heterogéneas es un tema de investigación abierto y desafiante, en particular teniendo en cuenta las peculiaridades del
Dusmanu, Mihai +2 more
openaire +2 more sources
RuArg-2022: Argument Mining Evaluation
Computational Linguistics and Intellectual Technologies, 2022 Argumentation analysis is a field of computational linguistics that studies methods for extracting arguments from texts and the relationships between them, as well as building argumentation structure of texts. This paper is a report of the organizers on the first competition of argumentation analysis systems dealing with Russian language texts within ...
Kotelnikov E +3 more
europepmc +3 more sources
, 2016 Rapid growth in the area of argument mining has resulted in an ever increasing volume of analysed argument data. Being able to store information about arguments people make in favour or against different opinions, decisions and actions is a highly ...
Budzynska, Katarzyna +3 more
core +3 more sources