Work

Argument Mining in Tweets: Comparing Crowd and Expert Annotations for Automated Claim and Evidence Detection

Year: 2021

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-80599-9_25

Authors: Neslihan Iskender, Robin Schaefer, Tim Polzehl, Sebastian Möller

Institutions: Technische Universität Berlin, University of Potsdam, German Research Centre for Artificial Intelligence

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3175973996

FWCI: 0.806

Cites: 17

Cited by: 9

Related to: 10