Data to 14 Oct 2026

Parsing Argumentation Structures in Persuasive Essays

arXiv 1604.07370 ↗First posted 25 Apr 2016cs.CLcited by 101

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Abstract (arXiv)

In this article, we present a novel approach for parsing argumentation structures. We identify argument components using sequence labeling at the token level and apply a new joint model for detecting argumentation structures. The proposed model globally optimizes argument component types and argumentative relations using integer linear programming. We show that our model considerably improves the performance of base classifiers and significantly outperforms challenging heuristic baselines. Moreover, we introduce a novel corpus of persuasive essays annotated with argumentation structures. We show that our annotation scheme and annotation guidelines successfully guide human annotators to substantial agreement. This corpus and the annotation guidelines are freely available for ensuring reproducibility and to encourage future research in computational argumentation.

Key facts. Cited by 101 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Apr 2016.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 13; 2022: 11; 2023: 15; 2024: 13; 2025: 17; 2026: 32.

101 papers.

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2023Exploring the Potential of Large Language Models in Computational Argumentationcited by 42
2022Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer Reviewcited by 37
2024AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotatorscited by 28
2024A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practicecited by 26
2024Are Large Language Models Reliable Argument Quality Annotators?cited by 24
2022IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Taskscited by 23
2024Can Large Language Models perform Relation-based Argument Mining?cited by 23
2021LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Contentcited by 22
2022How Do We Answer Complex Questions: Discourse Structure of Long-form Answerscited by 19
2022Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twittercited by 19
2021Claim Detection in Biomedical Twitter Postscited by 18
2021Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemescited by 18

38 more

2021Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentationcited by 17
2022A Corpus for Understanding and Generating Moral Storiescited by 16
2024Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluationcited by 13
2025Must Read: A Comprehensive Survey of Computational Persuasioncited by 13
2021Assessing the Sufficiency of Arguments through Conclusion Generationcited by 11
2024CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structurescited by 11
2021Supporting Cognitive and Emotional Empathic Writing of Studentscited by 8
2022Multi-granularity Argument Mining in Legal Textscited by 7
2024Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniquescited by 7
2021Multi-Task Attentive Residual Networks for Argument Miningcited by 6
2021"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Spacecited by 5
2022Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?cited by 5
2022Efficient Argument Structure Extraction with Transfer Learning and Active Learningcited by 5
2023HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicinecited by 5
2023Shaping Political Discourse using multi-source News Summarizationcited by 5
2024A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Qualitycited by 5
2025Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Argumentscited by 5
2025Limits of LLM Text Detectors in Educationcited by 5
2021Randomized Deep Structured Prediction for Discourse-Level Processingcited by 4
2023Cross-lingual Argument Mining in the Medical Domaincited by 4
2023Argumentation Element Annotation Modeling using XLNetcited by 4
2024CASA: Causality-driven Argument Sufficiency Assessmentcited by 4
2025ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentationcited by 4
2025LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Commentscited by 4
2022Automated Evaluation for Student Argumentative Writing: A Surveycited by 3
2022MetaLogic: Logical Reasoning Explanations with Fine-Grained Structurecited by 3
2023Argument Mining using BERT and Self-Attention based Embeddingscited by 3
2023AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Miningcited by 3
2024In-Context Learning and Fine-Tuning GPT for Argument Miningcited by 3
2024Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-fillingcited by 3
2024Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Taskscited by 3
2025Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Modelscited by 3
2025AMELIA: A Family of Multi-task End-to-end Language Models for Argumentationcited by 3
2026Multi-Agent Dialectical Refinement for Enhanced Argument Classificationcited by 3
2021"Sharks are not the threat humans are": Argument Component Segmentation in School Student Essayscited by 2
2021Multi-Task and Multi-Corpora Training Strategies to Enhance Argumentative Sentence Linking Performancecited by 2
2021Tree-Constrained Graph Neural Networks For Argument Miningcited by 2
2023Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checkingcited by 2

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