{"total":61,"rows":[{"id":"2208.11646","title":"Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation","created":"2022-08-24","cited_by_count":75,"area":null},{"id":"2311.09022","title":"Exploring the Potential of Large Language Models in Computational Argumentation","created":"2023-11-15","cited_by_count":42,"area":null},{"id":"2104.00640","title":"AmbiFC: Fact-Checking Ambiguous Claims with Evidence","created":"2021-04-01","cited_by_count":38,"area":null},{"id":"2204.10805","title":"Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer Review","created":"2022-04-22","cited_by_count":37,"area":null},{"id":"2110.08520","title":"DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions","created":"2021-10-16","cited_by_count":36,"area":null},{"id":"2208.06178","title":"Mining Legal Arguments in Court Decisions","created":"2022-08-12","cited_by_count":35,"area":null},{"id":"2402.11073","title":"AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators","created":"2024-02-16","cited_by_count":28,"area":null},{"id":"2404.00750","title":"Can Language Models Recognize Convincing Arguments?","created":"2024-03-31","cited_by_count":21,"area":null},{"id":"2104.11639","title":"Claim Detection in Biomedical Twitter Posts","created":"2021-04-23","cited_by_count":18,"area":null},{"id":"2105.07571","title":"Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes","created":"2021-05-17","cited_by_count":18,"area":null},{"id":"2107.00281","title":"Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentation","created":"2021-07-01","cited_by_count":17,"area":null},{"id":"2209.06416","title":"ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining","created":"2022-09-14","cited_by_count":12,"area":null},{"id":"2306.06480","title":"Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation","created":"2023-06-10","cited_by_count":12,"area":null},{"id":"2103.00820","title":"Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues","created":"2021-03-01","cited_by_count":11,"area":null},{"id":"2412.15993","title":"Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs","created":"2024-12-20","cited_by_count":11,"area":null},{"id":"2102.12227","title":"Multi-Task Attentive Residual Networks for Argument Mining","created":"2021-02-24","cited_by_count":6,"area":null},{"id":"2306.02978","title":"Which Argumentative Aspects of Hate Speech in Social Media can be reliably identified?","created":"2023-06-05","cited_by_count":6,"area":null},{"id":"2403.09713","title":"A Hybrid Intelligence Method for Argument Mining","created":"2024-03-11","cited_by_count":6,"area":null},{"id":"2503.00024","title":"Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks","created":"2025-02-24","cited_by_count":6,"area":null},{"id":"2203.12881","title":"Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?","created":"2022-03-24","cited_by_count":5,"area":null},{"id":"2204.00707","title":"Efficient Argument Structure Extraction with Transfer Learning and Active Learning","created":"2022-04-01","cited_by_count":5,"area":null},{"id":"2307.16217","title":"Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science","created":"2023-07-30","cited_by_count":5,"area":null},{"id":"2311.03153","title":"Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives!","created":"2023-11-06","cited_by_count":5,"area":null},{"id":"2401.03454","title":"Computational Argumentation-based Chatbots: a Survey","created":"2024-01-07","cited_by_count":5,"area":null},{"id":"2304.12836","title":"Lessons Learned from a Citizen Science Project for Natural Language Processing","created":"2023-04-25","cited_by_count":4,"area":null},{"id":"2309.08316","title":"How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study","created":"2023-09-15","cited_by_count":4,"area":null},{"id":"2310.12172","title":"Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining","created":"2023-10-15","cited_by_count":4,"area":null},{"id":"2310.19267","title":"Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans","created":"2023-10-30","cited_by_count":4,"area":null},{"id":"2505.22076","title":"ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation","created":"2025-05-28","cited_by_count":4,"area":null},{"id":"2505.22956","title":"LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments","created":"2025-05-29","cited_by_count":4,"area":null},{"id":"2102.10290","title":"Contextual Argument Component Classification for Class Discussions","created":"2021-02-20","cited_by_count":3,"area":null},{"id":"2106.14438","title":"Traditional Machine Learning and Deep Learning Models for Argumentation Mining in Russian Texts","created":"2021-06-28","cited_by_count":3,"area":null},{"id":"2301.09759","title":"Topic Ontologies for Arguments","created":"2023-01-23","cited_by_count":3,"area":null},{"id":"2310.05210","title":"TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining","created":"2023-10-08","cited_by_count":3,"area":null},{"id":"2510.09695","title":"Emotionally Charged, Logically Blurred: AI-driven Emotional Framing Impairs Human Fallacy Detection","created":"2025-10-09","cited_by_count":3,"area":null},{"id":"2110.13341","title":"How Should AI Interpret Rules? A Defense of Minimally Defeasible Interpretive Argumentation","created":"2021-10-26","cited_by_count":2,"area":null},{"id":"2312.00874","title":"Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining","created":"2023-12-01","cited_by_count":2,"area":null},{"id":"2407.19740","title":"KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument Mining","created":"2024-07-29","cited_by_count":2,"area":null},{"id":"2507.17409","title":"Investigating Subjective Factors of Argument Strength: Storytelling, Emotions, and Hedging","created":"2025-07-23","cited_by_count":2,"area":null},{"id":"2205.15141","title":"Theme Aspect Argumentation Model for Handling Fallacies","created":"2022-05-30","cited_by_count":1,"area":null},{"id":"2207.01672","title":"A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case Study","created":"2022-07-04","cited_by_count":1,"area":null},{"id":"2307.01401","title":"Multi-Task Learning Improves Performance In Deep Argument Mining Models","created":"2023-07-03","cited_by_count":1,"area":null},{"id":"2404.00406","title":"TACO -- Twitter Arguments from COnversations","created":"2024-03-30","cited_by_count":1,"area":null},{"id":"2503.13844","title":"Towards Detecting Persuasion on Social Media: From Model Development to Insights on Persuasion Strategies","created":"2025-03-18","cited_by_count":1,"area":null},{"id":"2511.20872","title":"Winning with Less for Low Resource Languages: Advantage of Cross-Lingual English_Persian Argument Mining Model over LLM Augmentation","created":"2025-11-25","cited_by_count":1,"area":null},{"id":"2603.03095","title":"Compact Prompting in Instruction-tuned LLMs for Joint Argumentative Component Detection","created":"2026-03-03","cited_by_count":1,"area":null},{"id":"2104.07924","title":"A Comparative Study on Collecting High-Quality Implicit Reasonings at a Large-scale","created":"2021-04-16","cited_by_count":0,"area":null},{"id":"2109.07017","title":"Written Justifications are Key to Aggregate Crowdsourced Forecasts","created":"2021-09-14","cited_by_count":0,"area":null},{"id":"2109.13611","title":"Active Learning for Argument Mining: A Practical Approach","created":"2021-09-28","cited_by_count":0,"area":null},{"id":"2203.08144","title":"DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies","created":"2022-03-11","cited_by_count":0,"area":null},{"id":"2307.12131","title":"Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources","created":"2023-07-22","cited_by_count":0,"area":null},{"id":"2406.12163","title":"Discussion Graph Semantics of First-Order Logic with Equality for Reasoning about Discussion and Argumentation","created":"2024-06-18","cited_by_count":0,"area":null},{"id":"2506.12823","title":"Medical Argument Mining: Exploitation of Scarce Data Using NLI Systems","created":"2025-06-15","cited_by_count":0,"area":null},{"id":"2511.21909","title":"A Customer Journey in the Land of Oz: Leveraging the Wizard of Oz Technique to Model Emotions in Customer Service Interactions","created":"2025-11-26","cited_by_count":0,"area":null},{"id":"2602.22846","title":"Improving Neural Argumentative Stance Classification in Controversial Topics with Emotion-Lexicon Features","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2604.22043","title":"Audio Video Verbal Analysis (AVVA) for Capturing Classroom Dialogues","created":"2026-04-23","cited_by_count":0,"area":null},{"id":"2606.13187","title":"A Context-Aware Dataset for Stance Detection in Bioethical Controversies on Reddit","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2607.13260","title":"Discourse-Aware Policy Analysis with Argumentation: A Hybrid LLM-Symbolic Framework for Disaster Governance","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2609.10192","title":"Who Argues What? Joint Argument-Entity Detection and Classification in Political Debates","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2609.18905","title":"Structured Claim-Level Discourse Representations for Dense Health Narratives","created":"2026-09-16","cited_by_count":0,"area":null},{"id":"2609.24855","title":"Extracting Arguments, Not Just Classifying Them: Instruction-Tuned LLMs for Generative Component Detection","created":"2026-09-21","cited_by_count":0,"area":null}],"next_cursor":null}