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

Showing 76100 of 284 papers

TitleStatusHype
A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case StudyCode0
Don’t Drop the Topic - The Role of the Prompt in Argument Identification in Student WritingCode0
RuArg-2022: Argument Mining Evaluation0
Incorporating Zoning Information into Argument Mining from Biomedical Literature0
The Sensitivity of Annotator Bias to Task Definitions in Argument MiningCode0
GerCCT: An Annotated Corpus for Mining Arguments in German Tweets on Climate Change0
Budget Argument Mining Dataset Using Japanese Minutes from the National Diet and Local Assemblies0
Annotating Arguments in a Corpus of Opinion ArticlesCode0
Scaling up Discourse Quality Annotation for Political ScienceCode0
QT30: A Corpus of Argument and Conflict in Broadcast Debate0
Few-Shot Learning for Argument Aspects of the Nuclear Energy DebateCode0
GRhOOT: Ontology of Rhetorical Figures in GermanCode0
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining DatasetsCode0
Towards a Holistic View on Argument Quality Prediction0
Reports of personal experiences and stories in argumentation: datasets and analysisCode0
Have my arguments been replied to? Argument Pair Extraction as Machine Reading ComprehensionCode0
Identifying the Human Values behind ArgumentsCode1
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?Code0
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining TasksCode1
Enhancing Legal Argument Mining with Domain Pre-training and Neural NetworksCode0
Inferring Inferences: Relational Propositions for Argument Mining0
Team Hitachi @ AutoMin 2021: Reference-free Automatic Minuting Pipeline with Argument Structure Construction over Topic-based Summarization0
Can Domain Pre-training Help Interdisciplinary Researchers from Data Annotation Poverty? A Case Study of Legal Argument Mining with BERT-based Transformers0
Sharper Reasons: Argument Mining Leveraged with Confluent Knowledge0
A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06Unverified