A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 11 of its 62 references that are in the map. First posted on arXiv 3 Apr 2024.
Builds on
11 of 62 references.
References · 11
- 2019Parameter-Efficient Transfer Learning for NLPcited by 4,195
- 2021DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharingcited by 1,219
- 2020AdapterFusion: Non-Destructive Task Composition for Transfer Learningcited by 780
- 2020AdapterHub: A Framework for Adapting Transformerscited by 441
- 2016Parsing Argumentation Structures in Persuasive Essayscited by 99
- 2018Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Inputcited by 16
- 2019Annotation and Classification of Sentence-level Revision Improvementcited by 12
- 2021Assessing the Sufficiency of Arguments through Conclusion Generationcited by 11
- 2023To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Supportcited by 8
- 2023Predicting the Quality of Revisions in Argumentative Writingcited by 7
- 2020A Corpus for Argumentative Writing Support in Germancited by 6
Built on by
Citing papers per year: 2025: 4; 2026: 1.
5 papers.
- 2025ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentationcited by 4
- 2025Towards Comprehensive Argument Analysis in Education: Dataset, Tasks, and Methodcited by 1
- 2025Toward LLM-Supported Automated Assessment of Critical Thinking Subskillscited by 1
- 2025Debating for Better Reasoning: An Unsupervised Multimodal Approachcited by 0
- 2026Evaluating Austrian A-Level German Essays with Large Language Models for Automated Essay Scoringcited by 0
- 2026Evaluating Austrian A-Level German Essays with Large Language Models for Automated Essay Scoring6 Mar 2026
- 2025Toward LLM-Supported Automated Assessment of Critical Thinking Subskills14 Oct 2025
- 2025ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation28 May 2025
- 2025Debating for Better Reasoning: An Unsupervised Multimodal Approach20 May 2025
- 2025Towards Comprehensive Argument Analysis in Education: Dataset, Tasks, and Method17 May 2025