Results 21 to 30 of about 1,930,637 (304)
VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 In this paper, we describe VivesDebate-Speech, a corpus of spoken argumentation created to leverage audio features for argument mining tasks. The creation of this corpus represents an important contribution to the intersection of speech processing and ...
Ramon Ruiz-Dolz, Javier Iranzo-S'anchez
semanticscholar +1 more source
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining [PDF]
Workshop on Argument Mining, 2023 A main goal of Argument Mining (AM) is to analyze an author’s stance. Unlike previous AM datasets focusing only on text, the shared task at the 10th Workshop on Argument Mining introduces a dataset including both texts and images.
Qing Zong +8 more
semanticscholar +1 more source
Proceedings of the 12th International Conference on Artificial Intelligence and Law, 2009 Argumentation is the process by which arguments are constructed and handled. Argumentation constitutes a major component of human intelligence. The ability to engage in argumentation is essential for humans to understand new problems, to perform scientific reasoning, to express, to clarify and to defend their opinions in their daily lives ...
Mochales Palau, Raquel +1 more
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ARGAEL: ARGument Annotation and Evaluation tooL
SoftwareX, 2023 Argument mining aims to automatically extract structured argumentative information existing in natural language text, and it is commonly performed by machine and deep learning models that require accurately and meaningfully labeled corpora. In this paper,
Andrés Segura-Tinoco, Iván Cantador
doaj +1 more source
AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining [PDF]
International Conference on Advanced Data Mining and Applications, 2023 Argument mining is to analyze argument structure and extract important argument information from unstructured text. An argument mining system can help people automatically gain causal and logical information behind the text.
Lang Cao
semanticscholar +1 more source
Information and argument patterns in the Introduction sections of sociology research papers
Ibérica, 2022 This study analysed the information-argument structure of the Introduction sections of sociology research papers, to identify differences across three types of sociology research: Investigative research, Development and Evaluation research, and ...
Wei-Ning Cheng +1 more
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Multi-Task Learning Improves Performance in Deep Argument Mining Models [PDF]
Workshop on Argument Mining, 2023 The successful analysis of argumentative techniques in user-generated text is central to many downstream tasks such as political and market analysis.
Amirhossein Farzam +3 more
semanticscholar +1 more source
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 While online conversations can cover a vast amount of information in many different formats, abstractive text summarization has primarily focused on modeling solely news articles.
Alexander R. Fabbri +6 more
semanticscholar +1 more source
Argument Mining: Extracting Arguments from Online Dialogue [PDF]
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2015 Online forums are now one of the primary venues for public dialogue on current social and political issues. The related corpora are often huge, covering any topic imaginable. Our aim is to use these dialogue corpora to automatically discover the semantic aspects of arguments that conversants are making across multiple dialogues on a topic.
Reid Swanson +2 more
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ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining [PDF]
International Conference on Computational Linguistics, 2022 A challenging task when generating summaries of legal documents is the ability to address their argumentative nature. We introduce a simple technique to capture the argumentative structure of legal documents by integrating argument role labeling into the
Mohamed S. Elaraby, D. Litman
semanticscholar +1 more source