@inproceedings{falke-gurevych-2017-bringing,
title = "Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps",
author = "Falke, Tobias and
Gurevych, Iryna",
editor = "Palmer, Martha and
Hwa, Rebecca and
Riedel, Sebastian",
booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D17-1320",
doi = "10.18653/v1/D17-1320",
pages = "2951--2961",
abstract = "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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%0 Conference Proceedings
%T Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps
%A Falke, Tobias
%A Gurevych, Iryna
%Y Palmer, Martha
%Y Hwa, Rebecca
%Y Riedel, Sebastian
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F falke-gurevych-2017-bringing
%X 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.
%R 10.18653/v1/D17-1320
%U https://aclanthology.org/D17-1320
%U https://doi.org/10.18653/v1/D17-1320
%P 2951-2961
Markdown (Informal)
[Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps](https://aclanthology.org/D17-1320) (Falke & Gurevych, EMNLP 2017)
ACL