ArguminSci: a tool for analyzing argumentation and rhetorical aspects in scientific writing

Lauscher, Anne ; Glavaš, Goran ; Eckert, Kai

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URN: urn:nbn:de:bsz:180-madoc-460821
Document Type: Conference or workshop publication
Year of publication: 2018
Book title: Proceedings of the 5th Workshop on Argument Mining : November 1, 2018, Brussels, Belgium : EMNLP 2018
Page range: 22-28
Conference title: 5th Workshop on Argument Mining
Location of the conference venue: Brussels, Belgium
Date of the conference: October 31-November 1, 2018
Publisher: Slonim, Noam
Place of publication: Stroudsburg, PA
Publishing house: Association for Computational Linguistics
ISBN: 978-1-948087-69-8
Related URLs:
Publication language: English
Institution: School of Business Informatics and Mathematics > Information Systems III: Enterprise Data Analysis (Ponzetto 2016-)
School of Business Informatics and Mathematics > Text Analytics for Interdisciplinary Research (Juniorprofessur) (Glavaš 2017-2021)
Subject: 004 Computer science, internet
Keywords (English): scientific publication mining , scitorics , natural language processing , deep learning
Abstract: Argumentation is arguably one of the central features of scientific language. We present ArguminSci, an easy-to-use tool that analyzes argumentation and other rhetorical aspects of scientific writing, which we collectively dub scitorics. The main aspect we focus on is the fine-grained argumentative analysis of scientific text through identification of argument components. The functionality of ArguminSci is accessible via three interfaces: as a command line tool, via a RESTful application programming interface, and as a web application.

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