论文阅读：Leveraging multimodal information for event summarization and concept-level sentiment analysis

时间 2021-01-02

标签论文研读自然语言处理繁體版

原文原文链接

利用多模态信息进行事件摘要和概念级别的情感分析文章目录利用多模态信息进行事件摘要和概念级别的情感分析 0. 摘要 1. 介绍 2. 相关工作 3. 系统概述 3.1 EventBuilder 3.2 EventSensor 3.3 进行中的工作 4. 评估 4.1 EventBuilder 4.2 EventSensor 5. 结论 0. 摘要在线用户生成内容（UGC）数量的快速增长需要社交

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1. VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis 论文解读
2. 论文阅读《SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction》
3. SentiLR:Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis 论文阅读笔记
4. 论文阅读笔记：Transfer Learning for Deep Sentiment Analysis
5. 论文阅读《Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis》
6. 《Semisupervised Autoencoder for Sentiment Analysis》阅读笔记
7. 【论文阅读ACL2020】Leveraging Graph to Improve Abstractive Multi-Document Summarization
8. 【论文阅读】【CVPR2017】Dual Attention Networks for Multimodal Reasoning and Matching
9. Event StoryLine Corpus 论文阅读
10. 【论文阅读笔记】Aspect-based sentiment analysis with alternating coattention networks

>>更多相关文章<<