{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/argument-mining/papers/2","list_of":"/task/argument-mining","task":"Argument Mining","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":2,"pages_in_order":3,"rows_per_page":100,"rows":[101,200],"of":284,"counts":{"archive_papers_tagged":284,"with_a_code_link":98,"where_syntology_ran_a_sample":5,"not_listed_spam_title":0,"listed":284,"listed_where_code_ran":5,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":4,"every_run_a_failure_of_syntologys_instrument":1,"listed_with_a_run_with_no_instrument_failure":4,"listed_every_run_a_failure_of_syntologys_instrument":1,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/argument-mining","prev":"/task/argument-mining","next":"/task/argument-mining/papers/3","papers":[{"url":null,"slug":"towards-comprehensive-argument-analysis-in","title":"Towards Comprehensive Argument Analysis in Education: Dataset, Tasks, and Method","date":"2025-05-17","arxiv_id":"2505.12028","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-new-approaches-for-information","title":"Exploring new Approaches for Information Retrieval through Natural Language Processing","date":"2025-05-04","arxiv_id":"2505.02199","repositories_listed":0,"syntology":null},{"url":null,"slug":"argument-summarization-and-its-evaluation-in","title":"Argument Summarization and its Evaluation in the Era of Large Language Models","date":"2025-03-02","arxiv_id":"2503.00847","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-small-llms-for-argument-mining-in","title":"Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment","date":"2025-02-20","arxiv_id":"2502.14389","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-suitability-of-pre-trained","title":"On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education","date":"2024-12-20","arxiv_id":"2412.15902","repositories_listed":0,"syntology":null},{"url":null,"slug":"natural-language-processing-for-the-legal","title":"Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges","date":"2024-10-25","arxiv_id":"2410.21306","repositories_listed":0,"syntology":null},{"url":null,"slug":"hiculr-hierarchical-curriculum-learning-for","title":"HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents","date":"2024-09-27","arxiv_id":"2409.18647","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-investment-opinion-ranking-through","title":"Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis","date":"2024-09-25","arxiv_id":"2409.17417","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-enthymemes-in-argument-maps","title":"Understanding Enthymemes in Argument Maps: Bridging Argument Mining and Logic-based Argumentation","date":"2024-08-16","arxiv_id":"2408.08648","repositories_listed":0,"syntology":null},{"url":"/paper/opendebateevidence-a-massive-scale-argument","slug":"opendebateevidence-a-massive-scale-argument","title":"OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset","date":"2024-06-20","arxiv_id":"2406.14657","repositories_listed":0,"syntology":null},{"url":null,"slug":"overview-of-the-cail-2023-argument-mining","title":"Overview of the CAIL 2023 Argument Mining Track","date":"2024-06-20","arxiv_id":"2406.14503","repositories_listed":0,"syntology":null},{"url":null,"slug":"end-to-end-argument-mining-as-augmented","title":"A Generative Marker Enhanced End-to-End Framework for Argument Mining","date":"2024-06-12","arxiv_id":"2406.08606","repositories_listed":0,"syntology":null},{"url":null,"slug":"assisted-debate-builder-with-large-language","title":"Assisted Debate Builder with Large Language Models","date":"2024-05-14","arxiv_id":"2405.13015","repositories_listed":0,"syntology":null},{"url":null,"slug":"mind-your-neighbours-leveraging-analogous","title":"Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents","date":"2024-03-31","arxiv_id":"2404.01344","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-argument-classification-with","title":"Efficient argument classification with compact language models and ChatGPT-4 refinements","date":"2024-03-20","arxiv_id":"2403.15473","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hybrid-intelligence-method-for-argument","title":"A Hybrid Intelligence Method for Argument Mining","date":"2024-03-11","arxiv_id":"2403.09713","repositories_listed":0,"syntology":null},{"url":null,"slug":"nlas-multi-a-multilingual-corpus-of","title":"NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes","date":"2024-02-22","arxiv_id":"2402.14458","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-large-language-models-perform-relation","title":"Can Large Language Models perform Relation-based Argument Mining?","date":"2024-02-17","arxiv_id":"2402.11243","repositories_listed":0,"syntology":null},{"url":null,"slug":"argumentative-stance-prediction-an","title":"Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning","date":"2023-10-11","arxiv_id":"2310.07093","repositories_listed":0,"syntology":null},{"url":null,"slug":"autoam-an-end-to-end-neural-model-for","title":"AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining","date":"2023-09-17","arxiv_id":"2309.09300","repositories_listed":0,"syntology":null},{"url":null,"slug":"explainable-topic-enhanced-argument-mining","title":"Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources","date":"2023-07-22","arxiv_id":"2307.12131","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-improves-performance-in","title":"Multi-Task Learning Improves Performance In Deep Argument Mining Models","date":"2023-07-03","arxiv_id":"2307.01401","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-genre-argument-mining-can-language","title":"Cross-Genre Argument Mining: Can Language Models Automatically Fill in Missing Discourse Markers?","date":"2023-06-07","arxiv_id":"2306.04314","repositories_listed":0,"syntology":null},{"url":null,"slug":"argument-mining-using-bert-and-self-attention","title":"Argument Mining using BERT and Self-Attention based Embeddings","date":"2023-02-27","arxiv_id":"2302.13906","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-span-segmentation-and-rhetorical-role","title":"Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents","date":"2023-02-13","arxiv_id":"2302.06448","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-an-intelligent-tutoring-system-for","title":"Toward an Intelligent Tutoring System for Argument Mining in Legal Texts","date":"2022-10-24","arxiv_id":"2210.13635","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-granularity-argument-mining-in-legal","title":"Multi-granularity Argument Mining in Legal Texts","date":"2022-10-17","arxiv_id":"2210.09472","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-robustness-evaluation-framework-for","title":"A Robustness Evaluation Framework for Argument Mining","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"argument-novelty-and-validity-assessment-via","title":"Argument Novelty and Validity Assessment via Multitask and Transfer Learning","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-selecting-training-corpora-for-cross","title":"On Selecting Training Corpora for Cross-Domain Claim Detection","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-the-presence-of-reasoning-markers","title":"Predicting the Presence of Reasoning Markers in Argumentative Text","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"qualiassistant-extracting-qualia-structures","title":"QualiAssistant: Extracting Qualia Structures from Texts","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"smm4h-2022-task-2-dataset-for-stance-and","title":"SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"will-it-blend-mixing-training-paradigms","title":"Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction","date":"2022-09-19","arxiv_id":"2209.08966","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-of-lexical-semantic","title":"Transfer Learning of Lexical Semantic Families for Argumentative Discourse Units Identification","date":"2022-09-06","arxiv_id":"2209.02495","repositories_listed":0,"syntology":null},{"url":null,"slug":"antcritic-argument-mining-for-free-form-and","title":"AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments","date":"2022-08-20","arxiv_id":"2208.09612","repositories_listed":0,"syntology":null},{"url":null,"slug":"ruarg-2022-argument-mining-evaluation","title":"RuArg-2022: Argument Mining Evaluation","date":"2022-06-18","arxiv_id":"2206.09249","repositories_listed":0,"syntology":null},{"url":null,"slug":"budget-argument-mining-dataset-using-japanese","title":"Budget Argument Mining Dataset Using Japanese Minutes from the National Diet and Local Assemblies","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"gercct-an-annotated-corpus-for-mining","title":"GerCCT: An Annotated Corpus for Mining Arguments in German Tweets on Climate Change","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"incorporating-zoning-information-into","title":"Incorporating Zoning Information into Argument Mining from Biomedical Literature","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"qt30-a-corpus-of-argument-and-conflict-in","title":"QT30: A Corpus of Argument and Conflict in Broadcast Debate","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-holistic-view-on-argument-quality","title":"Towards a Holistic View on Argument Quality Prediction","date":"2022-05-19","arxiv_id":"2205.09803","repositories_listed":0,"syntology":null},{"url":null,"slug":"inferring-inferences-relational-propositions","title":"Inferring Inferences: Relational Propositions for Argument Mining","date":"2022-02-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"team-hitachi-automin-2021-reference-free","title":"Team Hitachi @ AutoMin 2021: Reference-free Automatic Minuting Pipeline with Argument Structure Construction over Topic-based Summarization","date":"2021-12-06","arxiv_id":"2112.02741","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-domain-pre-training-help","title":"Can Domain Pre-training Help Interdisciplinary Researchers from Data Annotation Poverty? A Case Study of Legal Argument Mining with BERT-based Transformers","date":"2021-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comprehensive-and-large-scale-dataset-for","title":"A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-logic-tensor-networks-for","title":"Investigating Logic Tensor Networks for Neural-Symbolic Argument Mining","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sharper-reasons-argument-mining-leveraged","title":"Sharper Reasons: Argument Mining Leveraged with Confluent Knowledge","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"argument-mining-on-twitter-a-case-study-on","title":"Argument Mining on Twitter: A Case Study on the Planned Parenthood Debate","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"image-retrieval-for-arguments-using-stance","title":"Image Retrieval for Arguments Using Stance-Aware Query Expansion","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-in-argument-mining-for","title":"Multi-task Learning in Argument Mining for Persuasive Online Discussions","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"self-trained-pretrained-language-models-for","title":"Self-trained Pretrained Language Models for Evidence Detection","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/overview-of-the-2021-key-point-analysis","slug":"overview-of-the-2021-key-point-analysis","title":"Overview of the 2021 Key Point Analysis Shared Task","date":"2021-10-20","arxiv_id":"2110.10577","repositories_listed":0,"syntology":null},{"url":null,"slug":"project-debater-apis-decomposing-the-ai-grand","title":"Project Debater APIs: Decomposing the AI Grand Challenge","date":"2021-10-03","arxiv_id":"2110.01029","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-for-argument-mining-a","title":"Active Learning for Argument Mining: A Practical Approach","date":"2021-09-28","arxiv_id":"2109.13611","repositories_listed":0,"syntology":null},{"url":null,"slug":"advances-in-debating-technologies-building-ai","title":"Advances in Debating Technologies: Building AI That Can Debate Humans","date":"2021-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-argument-mining-for-social-good-a","title":"Towards Argument Mining for Social Good: A Survey","date":"2021-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"argument-mining-for-scholarly-document","title":"Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead","date":"2021-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"extraction-darguments-basee-sur-les","title":"Extraction d’arguments basée sur les transformateurs pour des applications dans le domaine de la santé (Transformer-based Argument Mining for Healthcare Applications)","date":"2021-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"end-to-end-argument-mining-as-biaffine","title":"End-to-End Argument Mining as Biaffine Dependency Parsing","date":"2021-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sharks-are-not-the-threat-humans-are-argument-1","title":"“Sharks are not the threat humans are”: Argument Component Segmentation in School Student Essays","date":"2021-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sharks-are-not-the-threat-humans-are-argument","title":"\"Sharks are not the threat humans are\": Argument Component Segmentation in School Student Essays","date":"2021-03-08","arxiv_id":"2103.04518","repositories_listed":0,"syntology":null},{"url":null,"slug":"contextual-argument-component-classification","title":"Contextual Argument Component Classification for Class Discussions","date":"2021-02-20","arxiv_id":"2102.10290","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-empirical-study-on-measuring-the","title":"An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation","date":"2021-02-19","arxiv_id":"2102.09786","repositories_listed":0,"syntology":null},{"url":null,"slug":"focusing-knowledge-based-graph-argument","title":"Focusing Knowledge-based Graph Argument Mining via Topic Modeling","date":"2021-02-03","arxiv_id":"2102.02086","repositories_listed":0,"syntology":null},{"url":null,"slug":"echr-legal-corpus-for-argument-mining","title":"ECHR: Legal Corpus for Argument Mining","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transformer-based-models-for-automatic","title":"Transformer-Based Models for Automatic Identification of Argument Relations: A Cross-Domain Evaluation","date":"2020-11-26","arxiv_id":"2011.13187","repositories_listed":0,"syntology":null},{"url":null,"slug":"multilingual-argument-mining-datasets-and","title":"Multilingual Argument Mining: Datasets and Analysis","date":"2020-10-13","arxiv_id":"2010.06432","repositories_listed":0,"syntology":null},{"url":"/paper/discourse-as-a-function-of-event-profiling","slug":"discourse-as-a-function-of-event-profiling","title":"Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-better-non-tree-argument-mining","title":"Towards Better Non-Tree Argument Mining: Proposition-Level Biaffine Parsing with Task-Specific Parameterization","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-discussion-tracker-corpus-of","title":"The Discussion Tracker Corpus of Collaborative Argumentation","date":"2020-05-22","arxiv_id":"2005.11344","repositories_listed":0,"syntology":null},{"url":null,"slug":"corpus-for-modeling-user-interactions-in","title":"Corpus for Modeling User Interactions in Online Persuasive Discussions","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-argumentation-mining-in-student","title":"Unsupervised Argumentation Mining in Student Essays","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"same-side-stance-classification-task","title":"Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model","date":"2020-04-23","arxiv_id":"2004.11163","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-dataset-independent-set-of-baselines-for","title":"A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining","date":"2020-02-14","arxiv_id":"2003.04970","repositories_listed":0,"syntology":null},{"url":null,"slug":"argument-mining-a-survey","title":"Argument Mining: A Survey","date":"2019-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"corpus-wide-argument-mining-a-working","title":"Corpus Wide Argument Mining -- a Working Solution","date":"2019-11-25","arxiv_id":"1911.10763","repositories_listed":0,"syntology":null},{"url":null,"slug":"argument-component-classification-for-1","title":"Argument Component Classification for Classroom Discussions","date":"2019-09-06","arxiv_id":"1909.03022","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-cascade-model-for-proposition-extraction-in","title":"A Cascade Model for Proposition Extraction in Argumentation","date":"2019-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lexicon-guided-attentive-neural-network-model","title":"Lexicon Guided Attentive Neural Network Model for Argument Mining","date":"2019-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-6th-workshop-on-argument","title":"Proceedings of the 6th Workshop on Argument Mining","date":"2019-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"segmentation-of-argumentative-texts-with","title":"Segmentation of Argumentative Texts with Contextualised Word Representations","date":"2019-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-swedish-poligraph-a-semantic-graph-for","title":"The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data","date":"2019-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transferring-knowledge-from-discourse-to","title":"Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts","date":"2019-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"advances-in-argument-mining","title":"Advances in Argument Mining","date":"2019-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"decompositional-argument-mining-a-general","title":"Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction","date":"2019-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"190600923","title":"TACAM: Topic And Context Aware Argument Mining","date":"2019-05-26","arxiv_id":"1906.00923","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-symbolic-argumentation-mining-an","title":"Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning","date":"2019-05-22","arxiv_id":"1905.09103","repositories_listed":0,"syntology":null},{"url":null,"slug":"argument-mining-for-understanding-peer","title":"Argument Mining for Understanding Peer Reviews","date":"2019-03-25","arxiv_id":"1903.10104","repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-deep-learning-and-argumentative","title":"Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets","date":"2018-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-argument-annotated-corpus-of-scientific","title":"An Argument-Annotated Corpus of Scientific Publications","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"annotating-claims-in-the-vaccination-debate","title":"Annotating Claims in the Vaccination Debate","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dave-the-debater-a-retrieval-based-and","title":"Dave the debater: a retrieval-based and generative argumentative dialogue agent","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evidence-type-classification-in-randomized","title":"Evidence Type Classification in Randomized Controlled Trials","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evidence-types-credibility-factors-and","title":"Evidence Types, Credibility Factors, and Patterns or Soft Rules for Weighing Conflicting Evidence: Argument Mining in the Context of Legal Rules Governing Evidence Assessment","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"incorporating-topic-aspects-for-online","title":"Incorporating Topic Aspects for Online Comment Convincingness Evaluation","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"more-or-less-controlled-elicitation-of","title":"More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-5th-workshop-on-argument","title":"Proceedings of the 5th Workshop on Argument Mining","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proposed-method-for-annotation-of-scientific","title":"Proposed Method for Annotation of Scientific Arguments in Terms of Semantic Relations and Argument Schemes","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-context-to-identify-the-language-of","title":"Using context to identify the language of face-saving","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"41a7c66c9e19d3f1bc4b72a35a2a65aacdb8e4f29af17af8b6eef42246c2dc43","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}