@inproceedings{li-etal-2014-annotating,
title = "Annotating Relation Mentions in Tabloid Press",
author = "Li, Hong and
Krause, Sebastian and
Xu, Feiyu and
Uszkoreit, Hans and
Hummel, Robert and
Mironova, Veselina",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/250_Paper.pdf",
pages = "3253--3257",
abstract = "This paper presents a new resource for the training and evaluation needed by relation extraction experiments. The corpus consists of annotations of mentions for three semantic relations: marriage, parent―child, siblings, selected from the domain of biographic facts about persons and their social relationships. The corpus contains more than one hundred news articles from Tabloid Press. In the current corpus, we only consider the relation mentions occurring in the individual sentences. We provide multi-level annotations which specify the marked facts from relation, argument, entity, down to the token level, thus allowing for detailed analysis of linguistic phenomena and their interactions. A generic markup tool Recon developed at the DFKI LT lab has been utilised for the annotation task. The corpus has been annotated by two human experts, supported by additional conflict resolution conducted by a third expert. As shown in the evaluation, the annotation is of high quality as proved by the stated inter-annotator agreements both on sentence level and on relationmention level. The current corpus is already in active use in our research for evaluation of the relation extraction performance of our automatically learned extraction patterns.",
}
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%0 Conference Proceedings
%T Annotating Relation Mentions in Tabloid Press
%A Li, Hong
%A Krause, Sebastian
%A Xu, Feiyu
%A Uszkoreit, Hans
%A Hummel, Robert
%A Mironova, Veselina
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F li-etal-2014-annotating
%X This paper presents a new resource for the training and evaluation needed by relation extraction experiments. The corpus consists of annotations of mentions for three semantic relations: marriage, parent―child, siblings, selected from the domain of biographic facts about persons and their social relationships. The corpus contains more than one hundred news articles from Tabloid Press. In the current corpus, we only consider the relation mentions occurring in the individual sentences. We provide multi-level annotations which specify the marked facts from relation, argument, entity, down to the token level, thus allowing for detailed analysis of linguistic phenomena and their interactions. A generic markup tool Recon developed at the DFKI LT lab has been utilised for the annotation task. The corpus has been annotated by two human experts, supported by additional conflict resolution conducted by a third expert. As shown in the evaluation, the annotation is of high quality as proved by the stated inter-annotator agreements both on sentence level and on relationmention level. The current corpus is already in active use in our research for evaluation of the relation extraction performance of our automatically learned extraction patterns.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/250_Paper.pdf
%P 3253-3257
Markdown (Informal)
[Annotating Relation Mentions in Tabloid Press](http://www.lrec-conf.org/proceedings/lrec2014/pdf/250_Paper.pdf) (Li et al., LREC 2014)
ACL
- Hong Li, Sebastian Krause, Feiyu Xu, Hans Uszkoreit, Robert Hummel, and Veselina Mironova. 2014. Annotating Relation Mentions in Tabloid Press. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3253–3257, Reykjavik, Iceland. European Language Resources Association (ELRA).