Results 281 to 290 of about 1,930,637 (304)

Argument mining on twitter

2021
In the last decade, the field of argument mining has grown notably. However, only relatively few studies have investigated argumentation in social media and specifically on Twitter. Here, we provide the, to our knowledge, first critical in-depth survey of the state of the art in tweet-based argument mining.
Schäfer, Robin, Stede, Manfred (Prof. Dr.)   +1 more
openaire   +1 more source

Argument Mining as a Text-to-Text Generation Task

Conference of the European Chapter of the Association for Computational Linguistics
Argument Mining (AM) aims to uncover the argumentative structures within a text. Previous methods require several subtasks, such as span identification, component classification, and relation classification.
Masayuki Kawarada, T. Hirao, Wataru Uchida, Masaaki Nagata   +3 more
semanticscholar   +1 more source

Overview of DialAM-2024: Argument Mining in Natural Language Dialogues

Workshop on Argument Mining
Argumentation is the process by which humans rationally elaborate their thoughts and opinions in written (e.g., essays) or spoken (e.g., debates) contexts.
Ramon Ruiz-Dolz, John Lawrence, Ella Schad, Chris Reed   +3 more
semanticscholar   +1 more source

Mining Economic Sentiment Using Argumentation Structures

2010
The recent turmoil in the financial markets has demonstrated the growing need for automated information monitoring tools that can help to identify the issues and patterns that matter and that can track and predict emerging events in business and economic processes. One of the techniques that can address this need is sentiment mining.
Hogenboom, Alexander, Hogenboom, Frederik, Kaymak, Uzay, Wouters, Paul, de Jong, Franciska M.G.   +4 more
openaire   +2 more sources

OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset

Neural Information Processing Systems
We introduce OpenDebateEvidence, a comprehensive dataset for argument mining and summarization sourced from the American Competitive Debate community.
Allen Roush, Yusuf Shabazz, Arvind Balaji, Peter Zhang, Stefano Mezza, Markus Zhang, Sanjay Basu, S. Vishwanath, Mehdi Fatemi, Ravid Shwartz-Ziv   +9 more
semanticscholar   +1 more source

Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques

Annual Meeting of the Association for Computational Linguistics
Recent research on sequence labelling has been exploring different strategies to mitigate the lack of manually annotated data for the large majority of the world languages.
Anar Yeginbergen, Maite Oronoz, Rodrigo Agerri   +2 more
semanticscholar   +1 more source

In-Context Learning and Fine-Tuning GPT for Argument Mining

arXiv.org
Large Language Models (LLMs) have become ubiquitous in NLP and deep learning. In-Context Learning (ICL) has been suggested as a bridging paradigm between the training-free and fine-tuning LLMs settings.
Jérémie Cabessa, Hugo Hernault, Umer Mushtaq   +2 more
semanticscholar   +1 more source

Detecting Scientific Fraud Using Argument Mining

Workshop on Argument Mining
A proliferation of fraudulent scientific research in recent years has precipitated a greater interest in more effective methods of detection. There are many varieties of academic fraud, but a particularly challenging type to detect is the use of paper ...
Gabriel Freedman, Francesca Toni
semanticscholar   +1 more source

KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogue Argument Mining

Workshop on Argument Mining
Dialogue Argument Mining(DialAM) is an important branch of Argument Mining(AM). DialAM-2024 is a shared task focusing on dialogue argument mining, which requires us to identify argumentative relations and illocutionary relations among proposition nodes ...
Zihao Zheng, Zhaowei Wang, Qing Zong, Yangqiu Song   +3 more
semanticscholar   +1 more source

WIBA: What Is Being Argued? A Comprehensive Approach to Argument Mining

International Conference on Advances in Social Networks Analysis and Mining
We propose WIBA, a novel framework and suite of methods that enable the comprehensive understanding of"What Is Being Argued"across contexts. Our approach develops a comprehensive framework that detects: (a) the existence, (b) the topic, and (c) the ...
Arman Irani, Ju Yeon Park, Kevin E. Esterling, Michalis Faloutsos   +3 more
semanticscholar   +1 more source