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Argument mining: A survey
Argument mining is the automatic identification and extraction of the structure of inference
and reasoning expressed as arguments presented in natural language. Understanding …
and reasoning expressed as arguments presented in natural language. Understanding …
Cross-topic argument mining from heterogeneous sources using attention-based neural networks
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 …
collections. Despite its usefulness for this task, most current approaches to argument mining …
Building an argument search engine for the web
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 …
To make this happen, many search-related questions must be revisited, such as how people …
Retrieval of the best counterargument without prior topic knowledge
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 …
challenging retrieval task of finding the best counterargument. Since prior knowledge of a …
Seeing things from a different angle: Discovering diverse perspectives about claims
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 …
contamination of our information supply. The practice of fact checking won't suffice to …
Argumentext: Searching for arguments in heterogeneous sources
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 …
However, most current approaches fall short when applied to heterogeneous texts. In this …
SECTOR: A neural model for coherent topic segmentation and classification
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 …
relevant sections, and then focuses on a few sentences for resolving her intention. However …
Data acquisition for argument search: The args. me corpus
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 …
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
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 …
intelligent systems to support clinicians in their everyday tasks and activities. Among others …
Fine-grained argument unit recognition and classification
Prior work has commonly defined argument retrieval from heterogeneous document
collections as a sentence-level classification task. Consequently, argument retrieval suffers …
collections as a sentence-level classification task. Consequently, argument retrieval suffers …