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 1–50 of 284 papers

TitleStatusHype
Argumentative Link Prediction using Residual Networks and Multi-Objective LearningCode1
Argument Mining Driven Analysis of Peer-ReviewsCode1
Mining Legal Arguments in Court DecisionsCode1
AMPERSAND: Argument Mining for PERSuAsive oNline DiscussionsCode1
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language ModelsCode1
Multi-Task Attentive Residual Networks for Argument MiningCode1
LawInstruct: A Resource for Studying Language Model Adaptation to the Legal DomainCode1
M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and TranscriptsCode1
Towards an Argument Mining Pipeline Transforming Texts to Argument GraphsCode1
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining TasksCode1
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument MiningCode1
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument MiningCode1
Detecting Arguments in CJEU Decisions on Fiscal State AidCode1
Identifying the Human Values behind ArgumentsCode1
DebateSum: A large-scale argument mining and summarization datasetCode1
Exploring the Potential of Large Language Models in Computational ArgumentationCode1
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual PatternsCode1
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online ContentCode1
ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple SentencesCode1
A Robustness Evaluation Framework for Argument Mining—0
Advances in Argument Mining—0
Assisted Debate Builder with Large Language Models—0
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining—0
Argument Relation Classification Using a Joint Inference Model—0
Annotating Claims in the Vaccination Debate—0
Annotation of argument structure in Japanese legal documents—0
AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments—0
A Preliminary Study of Disputation Behavior in Online Debating Forum—0
Advances in Debating Technologies: Building AI That Can Debate Humans—0
A Corpus of Annotated Revisions for Studying Argumentative Writing—0
Argument Mining on Twitter: A Case Study on the Planned Parenthood Debate—0
A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks—0
Argument Summarization and its Evaluation in the Era of Large Language Models—0
AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining—0
A Cascade Model for Proposition Extraction in Argumentation—0
An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation—0
TACAM: Topic And Context Aware Argument Mining—0
Argument Mining: A Survey—0
An Argument-Annotated Corpus of Scientific Publications—0
Argument Harvesting Using Chatbots—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified