Papers with anomaly detection task
Treating Dialogue Quality Evaluation as an Anomaly Detection Problem (2020.lrec-1)
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| Challenge: | Dialogue systems for interaction with humans are becoming more popular . the best way to estimate their success is through means of human evaluation . |
| Approach: | They investigate the effectiveness of perceiving dialogue evaluation as an anomaly detection task. |
| Outcome: | The proposed approach is based on four models and shows negative results . the proposed approach could be used in the future to improve human-led dialogue evaluations. |
AD-NLP: A Benchmark for Anomaly Detection in Natural Language Processing (2023.emnlp-main)
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| Challenge: | Methods for Anomaly Detection in text have shown strong empirical results on ad-hoc anomaly setups that are usually made by downsampling some classes of a labeled dataset. |
| Approach: | They propose a unified benchmark for detecting various types of anomalies . they evaluate two strong shallow baselines and two current state-of-the-art neural approaches . |
| Outcome: | The proposed benchmarks provide insights into the knowledge the neural models are learning when performing the task. |
SA-CLIP: Language Guided Image Spatial and Action Feature Learning (2025.findings-emnlp)
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| Challenge: | Contrastive language-image pretraining models struggle with real-world downstream tasks such as road traffic anomaly detection due to inability to effectively capture spatial and action relationships between objects within images. |
| Approach: | They compile and curate a dataset and train a Spatial and Action relationship aware CLIP model. |
| Outcome: | The proposed model performs well on the traffic anomaly detection task . |