  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.
