Organizing the structure of fixed-length text summaries for events is important for their coherence and readability. However, typical measures used for evaluation in text summarization tasks often ignore the structure. In this paper, we conduct an empirical study on a crowdsourcing platform to get insights into regularities that make a text summary coherent and readable. For this, we generate four variants of human written text summaries with 10 sentences for 100 seminal events, and conduct three experiments. Experiment 1 and 2 focus on analyzing the impact of sentence ordering and proximity between originally occurring adjacent sentences, respectively. Experiment 3 analyzes the feasibility of conducting such a study on a crowdsourcing platform. We release our data to facilitate future work like designing dedicated measures to evaluate summary structures.
CITATION STYLE
Mishra, A., & Berberich, K. (2017). How do order and proximity impact the readability of event summaries? In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10193 LNCS, pp. 212–225). Springer Verlag. https://doi.org/10.1007/978-3-319-56608-5_17
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