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 141–150 of 284 papers

TitleStatusHype
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
Show:102550
← PrevPage 15 of 29Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified