@inproceedings{dojchinovski-etal-2016-crowdsourced,
title = "Crowdsourced Corpus with Entity Salience Annotations",
author = "Dojchinovski, Milan and
Reddy, Dinesh and
Kliegr, Tom{\'a}{\v{s}} and
Vitvar, Tom{\'a}{\v{s}} and
Sack, Harald",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1527",
pages = "3307--3311",
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.",
}
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%0 Conference Proceedings
%T Crowdsourced Corpus with Entity Salience Annotations
%A Dojchinovski, Milan
%A Reddy, Dinesh
%A Kliegr, Tomáš
%A Vitvar, Tomáš
%A Sack, Harald
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F dojchinovski-etal-2016-crowdsourced
%X 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.
%U https://aclanthology.org/L16-1527
%P 3307-3311
Markdown (Informal)
[Crowdsourced Corpus with Entity Salience Annotations](https://aclanthology.org/L16-1527) (Dojchinovski et al., LREC 2016)
ACL
- Milan Dojchinovski, Dinesh Reddy, Tomáš Kliegr, Tomáš Vitvar, and Harald Sack. 2016. Crowdsourced Corpus with Entity Salience Annotations. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3307–3311, Portorož, Slovenia. European Language Resources Association (ELRA).