Abstract We describe a novel and unique argumentative structure dataset. This corpus consists of data extracted from hundreds of Wikipedia articles using a meticulously monitored manual annotation process. The result is 2,683 argument elements, collected in the context of 33 controversial topics, organized under a simple claim-evidence structure. The obtained data are publicly available for academic research
Dispute and controversy are parts of our culture and cannot be omitted on the Internet (where it bec...
Controversy is a complex concept that has been attracting attention of scholars from diverse fields....
Argumentation mining aims to automatically detect, classify and structure argumentation in text. The...
Decision making in social communities, such as families, companies, or parties, builds on debates an...
The goal of argumentation mining, an evolving research field in computational linguistics, is to des...
In this paper, we analyze and discuss approaches to argumentation mining from the discourse structur...
Abstract—The advent of Web 2.0 gave birth to a new kind of application where content is generated th...
Expressing opinions and interacting with others on the Web has led to the production of an abundance...
Automated fact checking is becoming increasingly vital as both truthful and fallacious information a...
The UKP Sentential Argument Mining Corpus includes 25,492 sentences over eight controversial topics....
In this paper, we argue that an annotation scheme for argumentation mining is a function of the task...
Dispute and controversy are parts of our culture and cannot be omitted on the Internet (where it bec...
Researchers writing scientific articles summarize their work in the abstracts mentioning the final o...
In this paper we present a new unsupervised approach, \u201cAttraction to Topics\u201d \u2013 A2T , ...
The US2016-SCHEMES corpus comprises transcripts of television debates leading up to the 2016 US pres...
Dispute and controversy are parts of our culture and cannot be omitted on the Internet (where it bec...
Controversy is a complex concept that has been attracting attention of scholars from diverse fields....
Argumentation mining aims to automatically detect, classify and structure argumentation in text. The...
Decision making in social communities, such as families, companies, or parties, builds on debates an...
The goal of argumentation mining, an evolving research field in computational linguistics, is to des...
In this paper, we analyze and discuss approaches to argumentation mining from the discourse structur...
Abstract—The advent of Web 2.0 gave birth to a new kind of application where content is generated th...
Expressing opinions and interacting with others on the Web has led to the production of an abundance...
Automated fact checking is becoming increasingly vital as both truthful and fallacious information a...
The UKP Sentential Argument Mining Corpus includes 25,492 sentences over eight controversial topics....
In this paper, we argue that an annotation scheme for argumentation mining is a function of the task...
Dispute and controversy are parts of our culture and cannot be omitted on the Internet (where it bec...
Researchers writing scientific articles summarize their work in the abstracts mentioning the final o...
In this paper we present a new unsupervised approach, \u201cAttraction to Topics\u201d \u2013 A2T , ...
The US2016-SCHEMES corpus comprises transcripts of television debates leading up to the 2016 US pres...
Dispute and controversy are parts of our culture and cannot be omitted on the Internet (where it bec...
Controversy is a complex concept that has been attracting attention of scholars from diverse fields....
Argumentation mining aims to automatically detect, classify and structure argumentation in text. The...