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 41–50 of 284 papers

TitleStatusHype
ArgumenText: Searching for Arguments in Heterogeneous Sources—0
Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum—0
Argument Mining: Extracting Arguments from Online Dialogue—0
Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead—0
Argument Mining for Understanding Peer Reviews—0
A News Editorial Corpus for Mining Argumentation Strategies—0
Active Learning for Argument Mining: A Practical Approach—0
Argument Mining on Twitter: Arguments, Facts and Sources—0
Argument Mining: the Bottleneck of Knowledge and Language Resources—0
Argument Mining using BERT and Self-Attention based Embeddings—0
Show:102550
← PrevPage 5 of 29Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified