Results 31 to 40 of about 369,727 (288)
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
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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
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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
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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
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, 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
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The potential of text mining in data integration and network biology for plant research : a case study on Arabidopsis [PDF]
, 2013 Despite the availability of various data repositories for plant research, a wealth of information currently remains hidden within the biomolecular literature. Text mining provides the necessary means to retrieve these data through automated processing of
De Bodt, Stefanie +4 more
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Argument annotation and analysis using deep learning with attention mechanism in Bahasa Indonesia
Journal of Big Data, 2020 Argumentation mining is a research field which focuses on sentences in type of argumentation. Argumentative sentences are often used in daily communication and have important role in each decision or conclusion making process.
Derwin Suhartono +5 more
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Event-Argument Linking in Disaster Domain
IEEE Access, 2022 Linking event triggers with their respective arguments is an essential component for building an event extraction system. It is challenging to link event triggers with their corresponding argument triggers when the sentence contains multiple event and ...
Sovan Kumar Sahoo +3 more
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Argument Mining with Structured SVMs and RNNs
, 2017 We propose a novel factor graph model for argument mining, designed for settings in which the argumentative relations in a document do not necessarily form a tree structure. (This is the case in over 20% of the web comments dataset we release.) Our model
Cardie, Claire +2 more
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Joint RNN Model for Argument Component Boundary Detection
, 2017 Argument Component Boundary Detection (ACBD) is an important sub-task in argumentation mining; it aims at identifying the word sequences that constitute argument components, and is usually considered as the first sub-task in the argumentation mining ...
Du, Yang +5 more
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