基于深度学习的论文摘要写作辅助模型开题报告
2020-04-12 04:04
1. 研究目的与意义（文献综述）
2005年，scigen[1]横空出世，开创了人工智能写论文、文章的先河。
虽然scigen实现的技术以现在的观点来看十分简略，而且发明它的三位mit的研究生本身也只是以恶搞为目的，但用人工智能来辅助人类进行写作这个思想则从此进入实际可行的范围。
从此，学者们开始对人工智能自动辅助写作展开了美好的篇章。
2. 研究的基本内容与方案
需要实现的功能：
1 抓取论文数据
2 根据论文数据的上下文训练lstm神经网络及编码器-译码器模型
3 获取一句用户输入为原始句子
4 将这个句子导入训练好的编码器-译码器模型，得到对应当前句子的句子
5 重复第4步，直到获取到足够的句子构成一段话。
2.2技术方案：
本文拟采用以下几个技术方案实现目标。
首先，为了提高准确度，即解决问题(1)，应采用深度学习及其相关方法作为基本框架。
3. 研究计划与安排
(1)2018/1/14—2018/2/22：确定选题，查阅文献，外文翻译和撰写开题报告；
(2)2018/2/23—2018/4/30：系统架构、程序设计与开发、系统测试与完善；
(3)2018/5/1—2018/5/25：撰写及修改毕业论文；
(4)2018/5/26—2018/6/6：准备答辩。
4. 参考文献（12篇以上）
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