For a researcher, writing a good research statement is crucial but costs a lot of time and effort. To help researchers, in this paper, we propose the research statement generation (RSG) task which aims to summarize one's research achievements and help prepare a formal research statement. For this task, we conduct a comprehensive attempt including corpus construction, method design, and performance evaluation. First, we construct an RSG dataset with 62 research statements and the corresponding 1,203 publications. Due to the limitation of our resources, we propose a practical RSG method which identifies a researcher's research directions by topic modeling and clustering techniques and extracts salient sentences by a neural text summarizer. Finally, experiments show that our method outperforms all the baselines with better content coverage and coherence.

中文翻译：

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研究陈述生成的全面尝试

对于研究人员而言，撰写一份好的研究报告固然至关重要，但要花费大量的时间和精力。为了帮助研究人员，本文提出了研究报告生成（RSG）任务，该任务旨在总结一个人的研究成果并帮助编写正式的研究报告。对于此任务，我们进行了全面的尝试，包括语料库构建，方法设计和性能评估。首先，我们用62个研究陈述和相应的1,203篇出版物构建RSG数据集。由于我们资源的限制，我们提出了一种实用的RSG方法，该方法可以通过主题建模和聚类技术来确定研究人员的研究方向，并通过神经文本摘要器提取突出的句子。最后，