@inproceedings{wiegand-etal-2012-gold,
title = "A Gold Standard for Relation Extraction in the Food Domain",
author = {Wiegand, Michael and
Roth, Benjamin and
Lasarcyk, Eva and
K{\"o}ser, Stephanie and
Klakow, Dietrich},
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/136_Paper.pdf",
pages = "507--514",
abstract = "We present a gold standard for semantic relation extraction in the food domain for German. The relation types that we address are motivated by scenarios for which IT applications present a commercial potential, such as virtual customer advice in which a virtual agent assists a customer in a supermarket in finding those products that satisfy their needs best. Moreover, we focus on those relation types that can be extracted from natural language text corpora, ideally content from the internet, such as web forums, that are easy to retrieve. A typical relation type that meets these requirements are pairs of food items that are usually consumed together. Such a relation type could be used by a virtual agent to suggest additional products available in a shop that would potentially complement the items a customer has already in their shopping cart. Our gold standard comprises structural data, i.e. relation tables, which encode relation instances. These tables are vital in order to evaluate natural language processing systems that extract those relations.",
}
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%0 Conference Proceedings
%T A Gold Standard for Relation Extraction in the Food Domain
%A Wiegand, Michael
%A Roth, Benjamin
%A Lasarcyk, Eva
%A Köser, Stephanie
%A Klakow, Dietrich
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F wiegand-etal-2012-gold
%X We present a gold standard for semantic relation extraction in the food domain for German. The relation types that we address are motivated by scenarios for which IT applications present a commercial potential, such as virtual customer advice in which a virtual agent assists a customer in a supermarket in finding those products that satisfy their needs best. Moreover, we focus on those relation types that can be extracted from natural language text corpora, ideally content from the internet, such as web forums, that are easy to retrieve. A typical relation type that meets these requirements are pairs of food items that are usually consumed together. Such a relation type could be used by a virtual agent to suggest additional products available in a shop that would potentially complement the items a customer has already in their shopping cart. Our gold standard comprises structural data, i.e. relation tables, which encode relation instances. These tables are vital in order to evaluate natural language processing systems that extract those relations.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/136_Paper.pdf
%P 507-514
Markdown (Informal)
[A Gold Standard for Relation Extraction in the Food Domain](http://www.lrec-conf.org/proceedings/lrec2012/pdf/136_Paper.pdf) (Wiegand et al., LREC 2012)
ACL
- Michael Wiegand, Benjamin Roth, Eva Lasarcyk, Stephanie Köser, and Dietrich Klakow. 2012. A Gold Standard for Relation Extraction in the Food Domain. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 507–514, Istanbul, Turkey. European Language Resources Association (ELRA).