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This paper presents a generic approach to content selection for creating timelines from individual history articles for which no external information about the same topic is available. This scenario is in contrast to existing works on timeline generation, which require the presence of a large corpus of news articles. To identify salient events in a given history article, we exploit lexical cues about the article's subject area, as well as time expressions that are syntactically attached to andoi:10.18653/v1/d16-1259 dblp:conf/emnlp/BauerT16 fatcat:z6oscy4vkfhznbffydvi6srgxq