Tomáš Vitvar

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2016

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Crowdsourced Corpus with Entity Salience Annotations
Milan Dojchinovski | Dinesh Reddy | Tomáš Kliegr | Tomáš Vitvar | Harald Sack
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

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.
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