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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 284 papers

TitleStatusHype
Citizen Involvement in Urban Planning - How Can Municipalities Be Supported in Evaluating Public Participation Processes for Mobility Transitions?Code0
Extracting Implicitly Asserted Propositions in ArgumentationCode0
Classification and Clustering of Arguments with Contextualized Word EmbeddingsCode0
Classifying Argumentative Relations Using Logical Mechanisms and Argumentation SchemesCode0
DESYR: Definition and Syntactic Representation Based Claim Detection on the WebCode0
Dialo-AP: A Dependency Parsing Based Argument Parser for DialoguesCode0
End-to-End Argument Mining over Varying Rhetorical StructuresCode0
In-Context Learning and Fine-Tuning GPT for Argument MiningCode0
Is Your Perspective Also My Perspective? Enriching Prediction with SubjectivityCode0
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field StudyCode0
Boundary Detection and Categorization of Argument Aspects via Supervised LearningCode0
Active Learning for Argument Strength EstimationCode0
A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case StudyCode0
A Bayesian Approach for Sequence Tagging with CrowdsCode0
Cross-lingual Argument Mining in the Medical DomainCode0
Automatic Analysis of Substantiation in Scientific Peer ReviewsCode0
Enhancing Legal Argument Mining with Domain Pre-training and Neural NetworksCode0
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot TechniquesCode0
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining DatasetsCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
Reports of personal experiences and stories in argumentation: datasets and analysisCode0
Fine-Grained Argument Unit Recognition and ClassificationCode0
DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge GraphsCode0
AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining—0
Assisted Debate Builder with Large Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified