In this paper, we introduce the NUDT system for this year's CL-SciSumm 2018 task at the BIRNDL 2018 Workshop. For task 1a, we identify the related text spans referred to the citation with random forest model, exploring multiple features. Additionally, we integrate random forest model with BM25 and VSM model and apply a voting strategy to select the most related text spans. Besides, we explore the language model with word embeddings and integrate it into the voting system to improve the

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... ce. For task 1b, we use multi-features random forest classifier to identify the facet of the cited sentences.