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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.
LLMs are Introvert
MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection
Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
Abstract, Align, Predict: Zero-Shot Stance Detection via Cognitive Inductive Reasoning
PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels
Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media Content
What Media Frames Reveal About Stance: A Dataset and Study about Memes in Climate Change Discourse
Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally
Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directions
C-MTCSD: A Chinese Multi-Turn Conversational Stance Detection Dataset
Stance-Driven Multimodal Controlled Statement Generation: New Dataset and Task
Clarifying Misconceptions in COVID-19 Vaccine Sentiment and Stance Analysis and Their Implications for Vaccine Hesitancy Mitigation: A Systematic Review
Intermediate-Task Transfer Learning: Leveraging Sarcasm Detection for Stance Detection
Sarcasm Detection as a Catalyst: Improving Stance Detection with Cross-Target Capabilities
Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection
Embracing Diversity: A Multi-Perspective Approach with Soft Labels
Collaborative Stance Detection via Small-Large Language Model Consistency Verification
Understanding and Tackling Label Errors in Individual-Level Nature Language Understanding
LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information
Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy
Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models
Exploring Vision Language Models for Multimodal and Multilingual Stance Detection
Tracking the Takes and Trajectories of English-Language News Narratives across Trustworthy and Worrisome Websites
FarExStance: Explainable Stance Detection for Farsi
Reasoner Outperforms: Generative Stance Detection with Rationalization for Social Media
Acquired TASTE: Multimodal Stance Detection with Textual and Structural Embeddings
Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models
A More Advanced Group Polarization Measurement Approach Based on LLM-Based Agents and Graphs
Multi-Perspective Stance Detection
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing Agents
Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-Perspective News Dataset and Natural Language Processing
ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization
Stanceformer: Target-Aware Transformer for Stance Detection
The Lou Dataset -- Exploring the Impact of Gender-Fair Language in German Text Classification
MultiClimate: Multimodal Stance Detection on Climate Change Videos
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