SOTAVerified

Argument Mining

Argument Mining is a field of corpus-based discourse analysis that involves the automatic identification of argumentative structures in text.

Source: AMPERSAND: Argument Mining for PERSuAsive oNline Discussions

Papers

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Showing 101–150 of 284 papers

TitleStatusHype
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset—0
Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents—0
Joker at SemEval-2018 Task 12: The Argument Reasoning Comprehension with Neural Attention—0
Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment—0
Lexicon Guided Attentive Neural Network Model for Argument Mining—0
Lightly-Supervised Modeling of Argument Persuasiveness—0
LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments—0
Manual Identification of Arguments with Implicit Conclusions Using Semantic Rules for Argument Mining—0
Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents—0
Mining Argumentative Structure from Natural Language text using Automatically Generated Premise-Conclusion Topic Models—0
Mining Arguments From 19th Century Philosophical Texts Using Topic Based Modelling—0
More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing—0
Multi-granularity Argument Mining in Legal Texts—0
Multi-lingual Argumentative Corpora in English, Turkish, Greek, Albanian, Croatian, Serbian, Macedonian, Bulgarian, Romanian and Arabic—0
Multilingual Argument Mining: Datasets and Analysis—0
Multi-Task Learning Improves Performance In Deep Argument Mining Models—0
Multi-task Learning in Argument Mining for Persuasive Online Discussions—0
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges—0
Neural Attention Model for Classification of Sentences that Support Promoting/Suppressing Relationship—0
Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning—0
NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes—0
On Selecting Training Corpora for Cross-Domain Claim Detection—0
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education—0
Ontology-Based Argument Mining and Automatic Essay Scoring—0
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset—0
Overview of the 2021 Key Point Analysis Shared Task—0
Overview of the CAIL 2023 Argument Mining Track—0
``PageRank'' for Argument Relevance—0
Patterns of Argumentation Strategies across Topics—0
Predicting the Presence of Reasoning Markers in Argumentative Text—0
Proceedings of the 4th Workshop on Argument Mining—0
Proceedings of the 5th Workshop on Argument Mining—0
Proceedings of the 6th Workshop on Argument Mining—0
Proceedings of the Third Workshop on Argument Mining (ArgMining2016)—0
Processing Discourse in Dislog on the TextCoop Platform—0
Project Debater APIs: Decomposing the AI Grand Challenge—0
Projection of Argumentative Corpora from Source to Target Languages—0
Proposed Method for Annotation of Scientific Arguments in Terms of Semantic Relations and Argument Schemes—0
QT30: A Corpus of Argument and Conflict in Broadcast Debate—0
QualiAssistant: Extracting Qualia Structures from Texts—0
Quantifying Qualitative Data for Understanding Controversial Issues—0
Recognizing the Absence of Opposing Arguments in Persuasive Essays—0
Re-using an Argument Corpus to Aid in the Curation of Social Media Collections—0
Rhetorical structure and argumentation structure in monologue text—0
RuArg-2022: Argument Mining Evaluation—0
Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model—0
Scrutable Feature Sets for Stance Classification—0
Segmentation of Argumentative Texts with Contextualised Word Representations—0
Self-trained Pretrained Language Models for Evidence Detection—0
Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions.—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified