Argument mining: A survey

J Lawrence, C Reed - Computational Linguistics, 2020 - direct.mit.edu
Argument mining is the automatic identification and extraction of the structure of inference
and reasoning expressed as arguments presented in natural language. Understanding …

Cross-topic argument mining from heterogeneous sources using attention-based neural networks

C Stab, T Miller, I Gurevych - arxiv preprint arxiv:1802.05758, 2018 - arxiv.org
Argument mining is a core technology for automating argument search in large document
collections. Despite its usefulness for this task, most current approaches to argument mining …

Building an argument search engine for the web

H Wachsmuth, M Potthast, K Al Khatib… - Proceedings of the …, 2017 - aclanthology.org
Computational argumentation is expected to play a critical role in the future of web search.
To make this happen, many search-related questions must be revisited, such as how people …

Retrieval of the best counterargument without prior topic knowledge

H Wachsmuth, S Syed, B Stein - … of the 56th Annual Meeting of the …, 2018 - aclanthology.org
Given any argument on any controversial topic, how to counter it? This question implies the
challenging retrieval task of finding the best counterargument. Since prior knowledge of a …

Seeing things from a different angle: Discovering diverse perspectives about claims

S Chen, D Khashabi, W Yin, C Callison-Burch… - arxiv preprint arxiv …, 2019 - arxiv.org
One key consequence of the information revolution is a significant increase and a
contamination of our information supply. The practice of fact checking won't suffice to …

Argumentext: Searching for arguments in heterogeneous sources

C Stab, J Daxenberger, C Stahlhut… - Proceedings of the …, 2018 - aclanthology.org
Argument mining is a core technology for enabling argument search in large corpora.
However, most current approaches fall short when applied to heterogeneous texts. In this …

SECTOR: A neural model for coherent topic segmentation and classification

S Arnold, R Schneider, P Cudré-Mauroux… - Transactions of the …, 2019 - direct.mit.edu
When searching for information, a human reader first glances over a document, spots
relevant sections, and then focuses on a few sentences for resolving her intention. However …

Data acquisition for argument search: The args. me corpus

Y Ajjour, H Wachsmuth, J Kiesel, M Potthast… - KI 2019: Advances in …, 2019 - Springer
Argument search is the study of search engine technology that can retrieve arguments for
potentially controversial topics or claims upon user request. The design of an argument …

Enhancing evidence-based medicine with natural language argumentative analysis of clinical trials

T Mayer, S Marro, E Cabrio, S Villata - Artificial intelligence in medicine, 2021 - Elsevier
In the latest years, the healthcare domain has seen an increasing interest in the definition of
intelligent systems to support clinicians in their everyday tasks and activities. Among others …

Fine-grained argument unit recognition and classification

D Trautmann, J Daxenberger, C Stab… - Proceedings of the …, 2020 - ojs.aaai.org
Prior work has commonly defined argument retrieval from heterogeneous document
collections as a sentence-level classification task. Consequently, argument retrieval suffers …