Results 31 to 40 of about 1,930,637 (304)
VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament
Applied Sciences, 2021 The application of the latest Natural Language Processing breakthroughs in computational argumentation has shown promising results, which have raised the interest in this area of research. However, the available corpora with argumentative annotations are
Ramon Ruiz-Dolz +4 more
doaj +1 more source
Uncovering Implicit Inferences for Improved Relational Argument Mining
Conference of the European Chapter of the Association for Computational Linguistics, 2023 Argument mining seeks to extract arguments and their structure from unstructured texts. Identifying relations between arguments (such as attack, support, and neutral) is a challenging task because two arguments may be related to each other via implicit ...
Ameer Hassan Saadat-Yazdi +2 more
semanticscholar +1 more source
Extracting Arguments Based on User Decisions in App Reviews
IEEE Access, 2021 Review mining from app marketplaces has gained immense popularity from researchers in recent years. Most studies in this area, however, tend to focus on improving the performance of classification prediction. In this study, we consider review mining from
Anang Kunaefi, Masayoshi Aritsugi
doaj +1 more source
Combining Argument Mining Techniques [PDF]
Proceedings of the 2nd Workshop on Argumentation Mining, 2015 In this paper, we look at three different methods of extracting the argumentative structure from a piece of natural language text. These methods cover linguistic features, changes in the topic being discussed and a supervised machine learning approach to identify the components of argumentation schemes, patterns of human reasoning which have been ...
Lawrence, John, Reed, Chris
openaire +1 more source
From Opinion Mining to Financial Argument Mining [PDF]
, 2021 Opinion mining is a prevalent research issue in many domains. In the financial domain, however, it is still in the early stages. Most of the researches on this topic only focus on the coarse-grained market sentiment analysis, i.e., 2-way classification for bullish/bearish.
Chung-Chi Chen +2 more
openaire +2 more sources
Advances in Argument Mining [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2019 This course aims to introduce students to an exciting and dynamic area that has witnessed remarkable growth over the past 36 months. Argument mining builds on opinion mining, sentiment analysis and related to tasks to automatically extract not just *what* people think, but *why* they hold the opinions they do. From being largely beyond the state of the
Budzynska, Katarzyna, Reed, Chris
openaire +2 more sources
Enhancing argumentation component classification using contextual language model
Journal of Big Data, 2021 Arguments facilitate humans to deliver their ideas. The outcome of the discussion heavily relies on the validity of the argument. If an argument is well-composed, it is more effective to grasp the core idea behind the argument.
Hidayaturrahman +3 more
doaj +1 more source
Argumentation schemes, fallacies, and evidence in politicians’ argumentative tweets—A coded dataset
Data in Brief, 2022 This coded database presents a corpus of argumentative tweets published by four politicians (Matteo Salvini, Donald Trump, Jair Bolsonaro, and Joe Biden) within 6 months from their taking office, which corresponds to the official end of their election ...
Fabrizio Macagno
doaj +1 more source
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining? [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Identifying argument components from unstructured texts and predicting the relationships expressed among them are two primary steps of argument mining. The intrinsic complexity of these tasks demands powerful learning models. While pretrained Transformer-
Subhabrata Dutta +3 more
semanticscholar +1 more source
A Cascade Model for Proposition Extraction in Argumentation [PDF]
, 2019 We present a model to tackle a fundamental but understudied problem in computational argumentation: proposition extraction. Propositions are the basic units of an argument and the primary building blocks of most argument mining systems. However, they are
Hovy, Eduard +3 more
core +2 more sources