【l論文閱讀】An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis 簡單來說 本文是將aspect extraction和aspect senmetiment classification整合成一個任務，然後同時用document語料進行多任務訓練一部分共享參數，解決as問題數據集小的問
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相關文章
- 1. 論文閱讀 《An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis》
- 2. 論文閱讀筆記：Transfer Learning for Deep Sentiment Analysis
- 3. 論文閱讀 《Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis》
- 4. 【論文閱讀】Learning Deconvolution Network for Semantic Segmentation
- 5. 《Review Sentiment Analysis Based on Deep Learning》論文閱讀筆記
- 6. Progressive Self-Supervised Attention Learning forAspect-Level Sentiment Analysis論文閱讀
- 7. VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis 論文解讀
- 8. 論文閱讀：Leveraging multimodal information for event summarization and concept-level sentiment analysis
- 9. SentiLR:Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis 論文閱讀筆記
- 10. 《Semisupervised Autoencoder for Sentiment Analysis》閱讀筆記