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Stance Classification

Papers

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Showing 51–100 of 101 papers

TitleStatusHype
DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Model—0
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks—0
Emergent: a novel data-set for stance classification—0
Enhancing Stance Classification on Social Media Using Quantified Moral Foundations—0
Can We Identify Stance Without Target Arguments? A Study for Rumour Stance Classification—0
eventAI at SemEval-2019 Task 7: Rumor Detection on Social Media by Exploiting Content, User Credibility and Propagation Information—0
Examining Temporalities on Stance Detection towards COVID-19 Vaccination—0
Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification—0
ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread—0
Fake News Detection using Stance Classification: A Survey—0
Fake news stance detection using stacked ensemble of classifiers—0
Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity—0
Forex trading and Twitter: Spam, bots, and reputation manipulation—0
Frame Semantics for Stance Classification—0
From Argumentation Mining to Stance Classification—0
GWU NLP at SemEval-2019 Task 7: Hybrid Pipeline for Rumour Veracity and Stance Classification on Social Media—0
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter—0
Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization—0
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks—0
Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models—0
Mama Edha at SemEval-2017 Task 8: Stance Classification with CNN and Rules—0
Measuring What Counts: The case of Rumour Stance Classification—0
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity—0
Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper—0
Revisiting Rumour Stance Classification: Dealing with Imbalanced Data—0
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning—0
Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model—0
SCRum-9: Multilingual Stance Classification over Rumours on Social Media—0
Scrutable Feature Sets for Stance Classification—0
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional TransformersCode0
A Retrospective Analysis of the Fake News Challenge Stance-Detection TaskCode0
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument MiningCode0
Content-based Stance Classification of Tweets about the 2020 Italian Constitutional ReferendumCode0
Simple Open Stance Classification for Rumour AnalysisCode0
Tribrid: Stance Classification with Neural Inconsistency DetectionCode0
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTMCode0
Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation StructureCode0
Danish Stance Classification and Rumour ResolutionCode0
On Classifying whether Two Texts are on the Same Side of an ArgumentCode0
Detecting Statements in Text: A Domain-Agnostic Few-Shot SolutionCode0
Opinions are Made to be Changed: Temporally Adaptive Stance ClassificationCode0
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument MiningCode0
Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance ClassificationCode0
Stance Prediction for Russian: Data and AnalysisCode0
Rumour Evaluation with Very Large Language ModelsCode0
A Retrospective Analysis of the Fake News Challenge Stance Detection TaskCode0
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative ApproachCode0
STANCY: Stance Classification Based on Consistency CuesCode0
Enolp musk@SMM4H’22 : Leveraging Pre-trained Language Models for Stance And Premise ClassificationCode0
WIBA: What Is Being Argued? A Comprehensive Approach to Argument MiningCode0
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