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 11–20 of 284 papers

TitleStatusHype
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative StructuresCode0
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents—0
Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis—0
Understanding Enthymemes in Argument Maps: Bridging Argument Mining and Logic-based Argumentation—0
KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument MiningCode0
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot TechniquesCode0
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset—0
Overview of the CAIL 2023 Argument Mining Track—0
A Generative Marker Enhanced End-to-End Framework for Argument Mining—0
In-Context Learning and Fine-Tuning GPT for Argument MiningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified