@inproceedings{anstein-etal-2006-identifying,
title = "Identifying and Classifying Terms in the Life Sciences: The Case of Chemical Terminology",
author = "Anstein, Stefanie and
Kremer, Gerhard and
Reyle, Uwe",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Gangemi, Aldo and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Tapias, Daniel",
booktitle = "Proceedings of the Fifth International Conference on Language Resources and Evaluation ({LREC}{'}06)",
month = may,
year = "2006",
address = "Genoa, Italy",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2006/pdf/617_pdf.pdf",
abstract = "Facing the huge amount of textual and terminological data in the life sciences, we present a theoretical basis for the linguistic analysis of chemical terms. Starting with organic compound names, we conduct a morpho-semantic deconstruction into morphemes and yield a semantic representation of the terms' functional and structural properties. These semantic representations imply both the molecular structure of the named molecules and their class membership. A crucial feature of this analysis, which distinguishes it from all similar existing systems, is its ability to deal with terms that do not fully specify a structure as well as terms for generic classes of chemical compounds. Such `underspecified' terms occur very frequently in scientific literature. Our approach will serve for the support of manual database curation and as a basis for text processing applications.",
}
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<abstract>Facing the huge amount of textual and terminological data in the life sciences, we present a theoretical basis for the linguistic analysis of chemical terms. Starting with organic compound names, we conduct a morpho-semantic deconstruction into morphemes and yield a semantic representation of the terms’ functional and structural properties. These semantic representations imply both the molecular structure of the named molecules and their class membership. A crucial feature of this analysis, which distinguishes it from all similar existing systems, is its ability to deal with terms that do not fully specify a structure as well as terms for generic classes of chemical compounds. Such ‘underspecified’ terms occur very frequently in scientific literature. Our approach will serve for the support of manual database curation and as a basis for text processing applications.</abstract>
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%0 Conference Proceedings
%T Identifying and Classifying Terms in the Life Sciences: The Case of Chemical Terminology
%A Anstein, Stefanie
%A Kremer, Gerhard
%A Reyle, Uwe
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Gangemi, Aldo
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Tapias, Daniel
%S Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
%D 2006
%8 May
%I European Language Resources Association (ELRA)
%C Genoa, Italy
%F anstein-etal-2006-identifying
%X Facing the huge amount of textual and terminological data in the life sciences, we present a theoretical basis for the linguistic analysis of chemical terms. Starting with organic compound names, we conduct a morpho-semantic deconstruction into morphemes and yield a semantic representation of the terms’ functional and structural properties. These semantic representations imply both the molecular structure of the named molecules and their class membership. A crucial feature of this analysis, which distinguishes it from all similar existing systems, is its ability to deal with terms that do not fully specify a structure as well as terms for generic classes of chemical compounds. Such ‘underspecified’ terms occur very frequently in scientific literature. Our approach will serve for the support of manual database curation and as a basis for text processing applications.
%U http://www.lrec-conf.org/proceedings/lrec2006/pdf/617_pdf.pdf
Markdown (Informal)
[Identifying and Classifying Terms in the Life Sciences: The Case of Chemical Terminology](http://www.lrec-conf.org/proceedings/lrec2006/pdf/617_pdf.pdf) (Anstein et al., LREC 2006)
ACL