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 161–170 of 284 papers

TitleStatusHype
Segmentation of Argumentative Texts with Contextualised Word Representations—0
Lexicon Guided Attentive Neural Network Model for Argument Mining—0
The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data—0
Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts—0
Advances in Argument Mining—0
TARGER: Neural Argument Mining at Your FingertipsCode0
Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign DebatesCode0
Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction—0
Classification and Clustering of Arguments with Contextualized Word EmbeddingsCode0
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the CrowdCode0
Show:102550
← PrevPage 17 of 29Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified