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 101–150 of 284 papers

TitleStatusHype
The Sensitivity of Annotator Bias to Task Definitions in Argument MiningCode0
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining DatasetsCode0
Towards a Holistic View on Argument Quality Prediction—0
Reports of personal experiences and stories in argumentation: datasets and analysisCode0
Have my arguments been replied to? Argument Pair Extraction as Machine Reading ComprehensionCode0
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?Code0
Enhancing Legal Argument Mining with Domain Pre-training and Neural NetworksCode0
Inferring Inferences: Relational Propositions for Argument Mining—0
Team Hitachi @ AutoMin 2021: Reference-free Automatic Minuting Pipeline with Argument Structure Construction over Topic-based Summarization—0
Can Domain Pre-training Help Interdisciplinary Researchers from Data Annotation Poverty? A Case Study of Legal Argument Mining with BERT-based Transformers—0
A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks—0
Sharper Reasons: Argument Mining Leveraged with Confluent Knowledge—0
Investigating Logic Tensor Networks for Neural-Symbolic Argument Mining—0
Argument Mining on Twitter: A Case Study on the Planned Parenthood Debate—0
Data-Driven Detection of General Chiasmi Using Lexical and Semantic FeaturesCode0
Citizen Involvement in Urban Planning - How Can Municipalities Be Supported in Evaluating Public Participation Processes for Mobility Transitions?Code0
Self-trained Pretrained Language Models for Evidence Detection—0
Image Retrieval for Arguments Using Stance-Aware Query Expansion—0
Multi-task Learning in Argument Mining for Persuasive Online Discussions—0
Overview of the 2021 Key Point Analysis Shared Task—0
Project Debater APIs: Decomposing the AI Grand Challenge—0
Key Point Analysis via Contrastive Learning and Extractive Argument SummarizationCode0
Active Learning for Argument Mining: A Practical Approach—0
Active Learning for Argument Strength EstimationCode0
Combining Transformers with Natural Language ExplanationsCode0
Tree-Constrained Graph Neural Networks For Argument MiningCode0
DESYR: Definition and Syntactic Representation Based Claim Detection on the WebCode0
KGAP: Knowledge Graph Augmented Political Perspective Detection in News MediaCode0
Advances in Debating Technologies: Building AI That Can Debate Humans—0
Spurious Correlations in Cross-Topic Argument MiningCode0
Towards Argument Mining for Social Good: A Survey—0
Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead—0
Extraction d’arguments basée sur les transformateurs pour des applications dans le domaine de la santé (Transformer-based Argument Mining for Healthcare Applications)—0
Classifying Argumentative Relations Using Logical Mechanisms and Argumentation SchemesCode0
“Sharks are not the threat humans are”: Argument Component Segmentation in School Student Essays—0
Parsing Argumentative Structure in English-as-Foreign-Language EssaysCode0
End-to-End Argument Mining as Biaffine Dependency Parsing—0
"Sharks are not the threat humans are": Argument Component Segmentation in School Student Essays—0
Contextual Argument Component Classification for Class Discussions—0
An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation—0
Focusing Knowledge-based Graph Argument Mining via Topic Modeling—0
ECHR: Legal Corpus for Argument Mining—0
Annotation and Detection of Arguments in TweetsCode0
Exploring Morality in ArgumentationCode0
Transformer-Based Models for Automatic Identification of Argument Relations: A Cross-Domain Evaluation—0
Aspect-Based Argument MiningCode0
Multilingual Argument Mining: Datasets and Analysis—0
Extracting Implicitly Asserted Propositions in ArgumentationCode0
Towards Better Non-Tree Argument Mining: Proposition-Level Biaffine Parsing with Task-Specific Parameterization—0
Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified