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A systematic review of machine learning techniques for stance detection and its applications
Stance detection is an evolving opinion mining research area motivated by the vast increase
in the variety and volume of user-generated content. In this regard, considerable research …
in the variety and volume of user-generated content. In this regard, considerable research …
POLITICS: Pretraining with same-story article comparison for ideology prediction and stance detection
Y Liu, XF Zhang, D Wegsman, N Beauchamp… - ar** a classification schema and validating its training
Most Americans agree that misinformation, hate speech and harassment are harmful and
inadequately curbed on social media through current moderation practices. In this paper, we …
inadequately curbed on social media through current moderation practices. In this paper, we …
Debating Europe: A multilingual multi-target stance classification dataset of online debates
We present a new dataset of online debates in English, annotated with stance. The dataset
was scraped from the “Debating Europe” platform, where users exchange opinions over …
was scraped from the “Debating Europe” platform, where users exchange opinions over …
Integrating n-gram features into pre-trained model: a novel ensemble model for multi-target stance detection
P Chen, K Ye, X Cui - International conference on artificial neural networks, 2021 - Springer
Multi-target stance detection in tweets aims to detect the stance of given texts towards a
specific target entity. Most existing models on stance detection consider word embedding as …
specific target entity. Most existing models on stance detection consider word embedding as …
Neural automated writing evaluation for Korean L2 writing
Although Korean language education is experiencing rapid growth in recent years and
several studies have investigated automated writing evaluation (AWE) systems, AWE for …
several studies have investigated automated writing evaluation (AWE) systems, AWE for …