@inproceedings{L16-1527,
 abstract = {In this paper, we present a crowdsourced dataset which adds entity salience (importance) annotations to the Reuters-128 dataset, which is subset of Reuters-21578. The dataset is distributed under a free license and publish in the NLP Interchange Format, which fosters interoperability and re-use. We show the potential of the dataset on the task of learning an entity salience classifier and report on the results from several experiments.
},
 address = {Portorož, Slovenia},
 author = {Milan Dojchinovski and Dinesh Reddy and Tomáš Kliegr and Tomas Vitvar and Harald Sack},
 booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
 month = {May},
 pages = {3307--3311},
 publisher = {European Language Resources Association (ELRA)},
 title = {Crowdsourced Corpus with Entity Salience Annotations},
 url = {https://www.aclweb.org/anthology/L16-1527},
 year = {2016}
}