---
_id: '54513'
abstract:
- lang: eng
text: Learning argumentative writing is challenging. Besides writing fundamentals
such as syntax and grammar, learners must select and arrange argument components
meaningfully to create high-quality essays. To support argumentative writing computationally,
one step is to mine the argumentative structure. When combined with automatic
essay scoring, interactions of the argumentative structure and quality scores
can be exploited for comprehensive writing support. Although studies have shown
the usefulness of using information about the argumentative structure for essay
scoring, no argument mining corpus with ground-truth essay quality annotations
has been published yet. Moreover, none of the existing corpora contain essays
written by school students specifically. To fill this research gap, we present
a German corpus of 1,320 essays from school students of two age groups. Each essay
has been manually annotated for argumentative structure and quality on multiple
levels of granularity. We propose baseline approaches to argument mining and essay
scoring, and we analyze interactions between both tasks, thereby laying the ground
for quality-oriented argumentative writing support.
author:
- first_name: Maja
full_name: Stahl, Maja
last_name: Stahl
- first_name: Nadine
full_name: Michel, Nadine
id: '47857'
last_name: Michel
- first_name: Sebastian
full_name: Kilsbach, Sebastian
last_name: Kilsbach
- first_name: 'Julian '
full_name: 'Schmidtke, Julian '
last_name: Schmidtke
- first_name: Sara
full_name: Rezat, Sara
last_name: Rezat
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
citation:
ama: 'Stahl M, Michel N, Kilsbach S, Schmidtke J, Rezat S, Wachsmuth H. A School
Student Essay Corpus for Analyzing Interactions of Argumentative Structure and
Quality. In: ; 2024. doi:10.48550/arXiv.2404.02529'
apa: Stahl, M., Michel, N., Kilsbach, S., Schmidtke, J., Rezat, S., & Wachsmuth,
H. (2024). A School Student Essay Corpus for Analyzing Interactions of Argumentative
Structure and Quality. https://doi.org/10.48550/arXiv.2404.02529
bibtex: '@inproceedings{Stahl_Michel_Kilsbach_Schmidtke_Rezat_Wachsmuth_2024, title={A
School Student Essay Corpus for Analyzing Interactions of Argumentative Structure
and Quality}, DOI={10.48550/arXiv.2404.02529},
author={Stahl, Maja and Michel, Nadine and Kilsbach, Sebastian and Schmidtke,
Julian and Rezat, Sara and Wachsmuth, Henning}, year={2024} }'
chicago: Stahl, Maja, Nadine Michel, Sebastian Kilsbach, Julian Schmidtke, Sara
Rezat, and Henning Wachsmuth. “A School Student Essay Corpus for Analyzing Interactions
of Argumentative Structure and Quality,” 2024. https://doi.org/10.48550/arXiv.2404.02529.
ieee: 'M. Stahl, N. Michel, S. Kilsbach, J. Schmidtke, S. Rezat, and H. Wachsmuth,
“A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure
and Quality,” 2024, doi: 10.48550/arXiv.2404.02529.'
mla: Stahl, Maja, et al. A School Student Essay Corpus for Analyzing Interactions
of Argumentative Structure and Quality. 2024, doi:10.48550/arXiv.2404.02529.
short: 'M. Stahl, N. Michel, S. Kilsbach, J. Schmidtke, S. Rezat, H. Wachsmuth,
in: 2024.'
date_created: 2024-05-29T12:11:43Z
date_updated: 2024-05-29T12:18:44Z
doi: 10.48550/arXiv.2404.02529
keyword:
- Annotation
- Corpus
- Argumentative Structure
language:
- iso: eng
status: public
title: A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure
and Quality
type: conference
user_id: '47857'
year: '2024'
...
---
_id: '1135'
abstract:
- lang: eng
text: 'In this paper, we describe our system developed for the GErman SenTiment
AnaLysis shared Task (GESTALT) for participation in the Maintask 2: Subjective
Phrase and Aspect Extraction from Product Reviews. We present a tool, which identifies
subjective and aspect phrases in German product reviews. For the recognition of
subjective phrases, we pursue a lexicon-based approach. For the extraction of
aspect phrases from the reviews, we consider two possible ways: Besides the subjectivity
and aspect look-up, we also implemented a method to establish which subjective
phrase belongs to which aspect. The system achieves better results for the recognition
of aspect phrases than for the subjective identification.'
author:
- first_name: Markus
full_name: Dollmann, Markus
id: '27578'
last_name: Dollmann
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Dollmann M, Geierhos M. SentiBA: Lexicon-based Sentiment Analysis on German
Product Reviews. In: Faaß G, Ruppenhofer J, eds. Workshop Proceedings of the
12th Edition of the KONVENS Conference. Hildesheim, Germany: Universitätsverlag
Hildesheim; 2014:185-191.'
apa: 'Dollmann, M., & Geierhos, M. (2014). SentiBA: Lexicon-based Sentiment
Analysis on German Product Reviews. In G. Faaß & J. Ruppenhofer (Eds.), Workshop
Proceedings of the 12th Edition of the KONVENS Conference (pp. 185–191). Hildesheim,
Germany: Universitätsverlag Hildesheim.'
bibtex: '@inproceedings{Dollmann_Geierhos_2014, place={Hildesheim, Germany}, title={SentiBA:
Lexicon-based Sentiment Analysis on German Product Reviews}, booktitle={Workshop
Proceedings of the 12th Edition of the KONVENS Conference}, publisher={Universitätsverlag
Hildesheim}, author={Dollmann, Markus and Geierhos, Michaela}, editor={Faaß, Gertrud
and Ruppenhofer, JosefEditors}, year={2014}, pages={185–191} }'
chicago: 'Dollmann, Markus, and Michaela Geierhos. “SentiBA: Lexicon-Based Sentiment
Analysis on German Product Reviews.” In Workshop Proceedings of the 12th Edition
of the KONVENS Conference, edited by Gertrud Faaß and Josef Ruppenhofer, 185–91.
Hildesheim, Germany: Universitätsverlag Hildesheim, 2014.'
ieee: 'M. Dollmann and M. Geierhos, “SentiBA: Lexicon-based Sentiment Analysis on
German Product Reviews,” in Workshop Proceedings of the 12th Edition of the
KONVENS Conference, Hildesheim, Germany, 2014, pp. 185–191.'
mla: 'Dollmann, Markus, and Michaela Geierhos. “SentiBA: Lexicon-Based Sentiment
Analysis on German Product Reviews.” Workshop Proceedings of the 12th Edition
of the KONVENS Conference, edited by Gertrud Faaß and Josef Ruppenhofer, Universitätsverlag
Hildesheim, 2014, pp. 185–91.'
short: 'M. Dollmann, M. Geierhos, in: G. Faaß, J. Ruppenhofer (Eds.), Workshop Proceedings
of the 12th Edition of the KONVENS Conference, Universitätsverlag Hildesheim,
Hildesheim, Germany, 2014, pp. 185–191.'
conference:
end_date: 2014-10-10
location: Hildesheim, Germany
name: 12th Konferenz zur Verarbeitung Natürlicher Sprache (KONVENS 2014)
start_date: 2014-10-08
date_created: 2018-01-30T15:46:56Z
date_updated: 2022-01-06T06:50:59Z
department:
- _id: '36'
- _id: '1'
- _id: '579'
editor:
- first_name: Gertrud
full_name: Faaß, Gertrud
last_name: Faaß
- first_name: Josef
full_name: Ruppenhofer, Josef
last_name: Ruppenhofer
keyword:
- corpus linguistics
- sentiment analysis
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://hildok.bsz-bw.de/files/297/04_03.pdf
oa: '1'
page: 185-191
place: Hildesheim, Germany
publication: Workshop Proceedings of the 12th Edition of the KONVENS Conference
publication_identifier:
isbn:
- 978-3-934105-47-8
publication_status: published
publisher: Universitätsverlag Hildesheim
quality_controlled: '1'
status: public
title: 'SentiBA: Lexicon-based Sentiment Analysis on German Product Reviews'
type: conference
user_id: '42496'
year: '2014'
...