An argument-annotated corpus of scientific publications

Lauscher, Anne ; Glavaš, Goran ; Ponzetto, Simone Paolo

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URN: urn:nbn:de:bsz:180-madoc-460841
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: 40-46
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): argument mining , scientific publication mining , scitorics , natural language processing , deep learning
Abstract: Argumentation is an essential feature of scientific language. We present an annotation study resulting in a corpus of scientific publications annotated with argumentative components and relations. The argumentative annotations have been added to the existing Dr. Inventor Corpus, already annotated for four other rhetorical aspects. We analyze the annotated argumentative structures and investigate the relations between argumentation and other rhetorical aspects of scientific writing, such as discourse roles and citation contexts.

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