Cross-Target Stance Detection with Sentiments-Aware Hierarchical Attention Network
Source abstract
Abstract
The task of cross-target stance detection faces significant challenges due to the lack of additional background information in emerging knowledge domains and the colloquial nature of language patterns. Traditional stance dete... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Anomaly Detection Techniques and Applications · Visual Attention and Saliency Detection · Misinformation and Its Impacts
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (34)
Show source-provided references
1. Cross-target stance classification with self-attention networks
2. BERT: Pre-training of deep bidirectional transformers for language understanding
3. Target-adaptive graph for cross-target stance detection
4. Enhancing cross-target stance detection with transferable semantic-emotion knowledge
5. Stance-level sarcasm detection with BERT and stance-centered graph attention networks
6. Stance detection with knowledge enhanced BERT10.1007/978-3-030-93049-3_20 ↗
7. A BERT framework to sentiment analysis of tweets10.3390/s23010506 ↗
8. Infusing knowledge from wikipedia to enhance stance detection
9. A. Upadhyaya, M. Fisichella, and W. Nejdl, “A multi-task model for sentiment aided stance detection of climate change tweets,” 2022, arXiv:2211.03533.10.1145/3543507.3583860 ↗
10. Exploiting sentiment and common sense for zero-shot stance detection
11. Stance detection with bidirectional conditional encoding
12. Modeling transferable topics for cross-target stance detection
13. Few-shot cross-lingual stance detection with sentiment-based pre-training
14. Adversarial network with external knowledge for zero-shot stance detection
15. KHAN: Knowledge-aware hierarchical attention networks for political stance prediction
16. Stance prediction for contemporary issues: Data and experiments
17. Assessing sentiment of the expressed stance on social media
18. Sent2Vec: A new sentence embedding representation with sentimental semantic
19. SentiBERT: A transferable transformer-based architecture for compositional sentiment semantics
20. Using social and linguistic information to adapt pretrained representations for political perspective identification
21. Incorporate opinion-towards for stance detection10.1016/j.knosys.2022.108657 ↗
22. MEAN: Multi-head entity aware attention network for political perspective detection in news media
23. A systematic review of machine learning techniques for stance detection and its applications10.1007/s00521-023-08285-7 ↗
24. Over a decade of social opinion mining: A systematic review10.1007/s10462-021-10030-2 ↗
25. Cross-target stance detection by exploiting target analytical perspectives
26. Stance detection via sentiment information and neural network model10.1007/s11704-018-7150-9 ↗
27. Multi-task stance detection with sentiment and stance lexicons
28. OpExHAN: Opinion extraction using hierarchical attention network from unstructured reviews10.1007/s13278-022-00971-z ↗
29. E-learning text sentiment classification using hierarchical attention network (HAN)10.3991/ijet.v16i13.22579 ↗
30. JointCL: A joint contrastive learning framework for zero-shot stance detection
31. Enhancing zero-shot stance detection via targeted background knowledge
32. Zero-shot stance detection via contrastive learning
33. Knowledge-enhanced prompt-tuning for stance detection
34. Few-shot learning for cross-target stance detection by aggregating multimodal embeddings10.1109/TCSS.2023.3264114 ↗