【論文閱讀】Neural Language Correction with Character-Based Attention
作者 Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, Andrew Y. Ng Computer Science Department, Stanford University 摘要 針對不同類型的自動糾錯分類器已經可以取得比較高的準確度，但是不足以處理冗餘與搭配不當這樣的錯誤。鑑於基於短語的翻譯模型不是針對拼寫錯誤與否來進行的，
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相關文章
- 1. Language to Logical Form with Neural Attention論文解讀
- 2. 【論文閱讀】A Neural Probabilistic Language Model
- 3. 《Reasoning about Entailment with Neural Attention》閱讀筆記
- 4. 論文閱讀：Visual Relationship Detection with Language Priors
- 5. [論文閱讀]Language Modeling with Gated Convolutional Networks
- 6. 論文閱讀：Neural Image Caption Generation with Visual Attention
- 7. 論文：Character-Level Language Modeling with Deeper Self-Attention
- 8. 論文閱讀 Multi-Task Deep Neural Networks for Natural Language Understanding
- 9. 論文閱讀：Generating Abstractive Summaries with Finetuned Language Models
- 10. 【論文筆記】Reasoning about Entailment with Neural Attention