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Stance Detection
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Stance detection is the extraction of a subject's reaction to a claim made by a primary actor. It is a core part of a set of approaches to fake news assessment.
Example:
- Source: "Apples are the most delicious fruit in existence"
- Reply: "Obviously not, because that is a reuben from Katz's"
- Stance: deny
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark
How would Stance Detection Techniques Evolve after the Launch of ChatGPT?
Examining Political Rhetoric with Epistemic Stance Detection
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning
Improving Stance Detection by Leveraging Measurement Knowledge from Social Sciences: A Case Study of Dutch Political Tweets and Traditional Gender Role Division
Legal and Political Stance Detection of SCOTUS Language
Leveraging Users' Social Network Embeddings for Fake News Detection on Twitter
A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets
Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation Threads
Contextual information integration for stance detection via cross-attention
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation
Incongruity Detection between Bangla News Headline and Body Content through Graph Neural Network
OpenStance: Real-world Zero-shot Stance Detection
Stance Detection and Open Research Avenues
The use of the word "\{gamma}\u{psion}ναι\k{appa}ο\k{appa}τονια" (femicide) in Greek-speaking Twitter
Relational Embeddings for Language Independent Stance Detection
Zero-shot stance detection based on cross-domain feature enhancement by contrastive learning
Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies
Demystifying the COVID-19 vaccine discourse on Twitter
StEduCov: An Explored and Benchmarked Dataset on Stance Detection in Tweets towards Online Education during COVID-19 Pandemic
Exploiting Sentiment and Common Sense for Zero-shot Stance Detection
Cascade-based Echo Chamber Detection
Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on Twitter
Few-Shot Stance Detection via Target-Aware Prompt Distillation
RuArg-2022: Argument Mining Evaluation
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets
Human Language Modeling
Bridging the Domain Gap for Stance Detection for the Zulu language
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection
ExaASC: A General Target-Based Stance Detection Corpus in Arabic Language
Tweets2Stance: Users stance detection exploiting Zero-Shot Learning Algorithms on Tweets
Investigating User Radicalization: A Novel Dataset for Identifying Fine-Grained Temporal Shifts in Opinion
Infusing Knowledge from Wikipedia to Enhance Stance Detection
A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning
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