Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection
轉載自：https://mp.weixin.qq.com/s/XYFTPNs-qCn8QlubCaY8og 引言 本文介紹了復旦大學數據智能與社會計算實驗室 (Fudan DISC)在EMNLP 2020上錄用的一篇長文: Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Pr
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相關文章
- 1. Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
- 2. 論文淺嘗 | Leveraging Knowledge Bases in LSTMs
- 3. 【論文】Text Detection and Recognition in Imagery: A Survey
- 4. 【翻譯】Rosetta Large Scale System for Text Detection and Recognition in Images
- 5. StructuredStreaming: A Declarative API for Real-Time
- 6. CRAFT（Character Region Awareness for Text Detection）
- 7. Improved Neural Relation Detection for Knowledge Base Question Answering
- 8. Beyond Pixels Leveraging Geometry and Shape Cues for Online[ICRA18]閱讀筆記
- 9. embedding entities and relations for learning and inference knowledge base
- 10. 【文獻學習】Power of Deep Learning for Channel Estimation and Signal Detection in OFDM