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 201–250 of 284 papers

TitleStatusHype
Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum—0
An Argument-Annotated Corpus of Scientific Publications—0
An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation—0
A News Editorial Corpus for Mining Argumentation Strategies—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
Argumentation: Content, Structure, and Relationship with Essay Quality—0
Argumentation Quality Assessment: Theory vs. Practice—0
Argumentation Synthesis following Rhetorical Strategies—0
Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning—0
Argumentative texts and clause types—0
Argument Component Classification for Classroom Discussions—0
ArgumenText: Searching for Arguments in Heterogeneous Sources—0
Argument Harvesting Using Chatbots—0
Argument Mining: A Survey—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
Argument Mining on Twitter: A Case Study on the Planned Parenthood Debate—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
Argument Novelty and Validity Assessment via Multitask and Transfer Learning—0
Argument Relation Classification Using a Joint Inference Model—0
Argument Summarization and its Evaluation in the Era of Large Language Models—0
A Robustness Evaluation Framework for Argument Mining—0
Assisted Debate Builder with Large Language Models—0
AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining—0
Budget Argument Mining Dataset Using Japanese Minutes from the National Diet and Local Assemblies—0
Building an Argument Search Engine for the Web—0
Can Domain Pre-training Help Interdisciplinary Researchers from Data Annotation Poverty? A Case Study of Legal Argument Mining with BERT-based Transformers—0
Can Large Language Models perform Relation-based Argument Mining?—0
Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus—0
Challenges of Argument Mining: Generating an Argument Synthesis based on the Qualia Structure—0
Claim Synthesis via Predicate Recycling—0
Combining Argument Mining Techniques—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified