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
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
Show:102550
← PrevPage 15 of 29Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified