Papers › Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps

Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps

14 Apr 2017EMNLP 2017 9arXiv:1704.04452archive 2025-07-28

Tobias Falke, Iryna Gurevych

Concept maps can be used to concisely represent important information and bring structure into large document collections. Therefore, we study a variant of multi-document summarization that produces summaries in the form of concept maps. However, suitable evaluation datasets for this task are currently missing. To close this gap, we present a newly created corpus of concept maps that summarize heterogeneous collections of web documents on educational topics. It was created using a novel crowdsourcing approach that allows us to efficiently determine important elements in large document collections. We release the corpus along with a baseline system and proposed evaluation protocol to enable further research on this variant of summarization.

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Document SummarizationMulti-Document Summarization

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