emnlp2017-cmapsum-corpus

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emnlp2017-cmapsum-corpus

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Accompanying code for our EMNLP 2017 publication "Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps"

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// repository documentation

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# Concept Map Summaries

Accompanying code for our EMNLP 2017 paper providing evaluation scripts and a baseline for the presented corpus. Please use the following citation:

```
@inproceedings{TUD-CS-2017-0153,
	title = {Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps},
	author = {Falke, Tobias and Gurevych, Iryna},
	booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
	pages = {(to appear)},
	year = {2017},
	location = {Copenhagen, Denmark},
	website  = {https://www.ukp.tu-darmstadt.de/data/summarization/concept-map-summaries},
}
```

> **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.

The dataset described in the paper can be found here:
 * https://www.ukp.tu-darmstadt.de/data/summarization/concept-map-summaries

**Contacts** 
  * Tobias Falke, lastname@aihphes.tu-darmstadt.de
  * https://www.ukp.tu-darmstadt.de
  * https://www.aiphes.tu-darmstadt.de

Don't hesitate to send us an e-mail or report an issue, if something is broken (and it shouldn't be) or if you have further questions.

> This repository contains experimental software and is published for the sole purpose of giving additional background details on the respective publication.

## Project structure

This repository contains two folders:
* `eval` evaluation scripts for the corpus
* `baseline` implementation of the described baseline system

For details, please refer to the corresponding README files.

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