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 151–200 of 284 papers

TitleStatusHype
Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets—0
Context-aware Argumentative Relation Mining—0
Contextual Argument Component Classification for Class Discussions—0
Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews—0
Corpus for Modeling User Interactions in Online Persuasive Discussions—0
Corpus Wide Argument Mining -- a Working Solution—0
Cross-Genre Argument Mining: Can Language Models Automatically Fill in Missing Discourse Markers?—0
Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks—0
Cross-topic Argument Mining from Heterogeneous Sources—0
CRST: a Claim Retrieval System in Twitter—0
DART: a Dataset of Arguments and their Relations on Twitter—0
Dave the debater: a retrieval-based and generative argumentative dialogue agent—0
Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction—0
Defeasible AceRules: A Prototype—0
Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event—0
ECHR: Legal Corpus for Argument Mining—0
Efficient argument classification with compact language models and ChatGPT-4 refinements—0
ELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection—0
End-to-End Argumentation Mining in Student Essays—0
A Generative Marker Enhanced End-to-End Framework for Argument Mining—0
End-to-End Argument Mining as Biaffine Dependency Parsing—0
End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture—0
Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis—0
ESCRITO - An NLP-Enhanced Educational Scoring Toolkit—0
Evidence Type Classification in Randomized Controlled Trials—0
Evidence Types, Credibility Factors, and Patterns or Soft Rules for Weighing Conflicting Evidence: Argument Mining in the Context of Legal Rules Governing Evidence Assessment—0
Expert Stance Graphs for Computational Argumentation—0
Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources—0
Exploring new Approaches for Information Retrieval through Natural Language Processing—0
Extracting Argument and Domain Words for Identifying Argument Components in Texts—0
Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms—0
Extraction d’arguments basée sur les transformateurs pour des applications dans le domaine de la santé (Transformer-based Argument Mining for Healthcare Applications)—0
Fill the Gap! Analyzing Implicit Premises between Claims from Online Debates—0
Focusing Knowledge-based Graph Argument Mining via Topic Modeling—0
GerCCT: An Annotated Corpus for Mining Arguments in German Tweets on Climate Change—0
Here's My Point: Joint Pointer Architecture for Argument Mining—0
HHU at SemEval-2018 Task 12: Analyzing an Ensemble-based Deep Learning Approach for the Argument Mining Task of Choosing the Correct Warrant—0
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents—0
Identifying Argument Components through TextRank—0
Identifying attack and support argumentative relations using deep learning—0
Image Retrieval for Arguments Using Stance-Aware Query Expansion—0
Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization—0
Incorporating Topic Aspects for Online Comment Convincingness Evaluation—0
Incorporating Zoning Information into Argument Mining from Biomedical Literature—0
Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines—0
Inferring Inferences: Relational Propositions for Argument Mining—0
Intertextual Correspondence for Integrating Corpora—0
Investigating Logic Tensor Networks for Neural-Symbolic Argument Mining—0
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset—0
Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified