https://github.com/24yearsoldstudent/individual-nlu
공식 코드Understanding and Tackling Label Errors in Individual-Level Nature Language Understanding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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:
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Understanding and Tackling Label Errors in Individual-Level Nature Language Understanding
Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media
Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey
Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection
Zero-Shot Stance Detection using Contextual Data Generation with LLMs
Adversarial Learning for Zero-Shot Stance Detection on Social Media
AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
A Retrospective Analysis of the Fake News Challenge Stance Detection Task
A Retrospective Analysis of the Fake News Challenge Stance Detection Task
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
Stance Detection Benchmark: How Robust Is Your Stance Detection?
X-Stance: A Multilingual Multi-Target Dataset for Stance Detection
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision
A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets
Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach
Zero-shot Cross-lingual Stance Detection via Adversarial Language Adaptation
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder
Putting Context in Context: the Impact of Discussion Structure on Text Classification
A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection
Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions
Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.