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 151–175 of 284 papers

TitleStatusHype
Corpus for Modeling User Interactions in Online Persuasive Discussions—0
AMPERSAND: Argument Mining for PERSuAsive oNline DiscussionsCode1
Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model—0
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining—0
Argument Mining: A Survey—0
Corpus Wide Argument Mining -- a Working Solution—0
Argument Component Classification for Classroom Discussions—0
Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts—0
Segmentation of Argumentative Texts with Contextualised Word Representations—0
The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data—0
Lexicon Guided Attentive Neural Network Model for Argument Mining—0
A Cascade Model for Proposition Extraction in Argumentation—0
Proceedings of the 6th Workshop on Argument Mining—0
Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign DebatesCode0
TARGER: Neural Argument Mining at Your FingertipsCode0
Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction—0
Advances in Argument Mining—0
Classification and Clustering of Arguments with Contextualized Word EmbeddingsCode0
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the CrowdCode0
TACAM: Topic And Context Aware Argument Mining—0
Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning—0
Fine-Grained Argument Unit Recognition and ClassificationCode0
Argument Mining for Understanding Peer Reviews—0
Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets—0
A Bayesian Approach for Sequence Tagging with CrowdsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified