In this paper we investigate the manual subclassification of chemical named entities into subtypes representing whole compounds, parts of compounds and classes of compounds. We present a set of detailed annotation guidelines, and demonstrate their reproducibility by performing an inter-annotator agreement study on a set of 42 chemistry papers. The accuracy and κ for the annotating the subtypes of the majority named entity type were 86.0 % and 0.784 respectively, indicating that consistent manual annotation of these phenomena is possible. Finally, we present a simple system that can make these judgments with accuracy of 67.4 % and κ of 0.470. 1
Background Recent years have seen an explosion in the availability of data in the chemistry domain....
Abstract Background A significant portion of the biomedical and chemical literature refers to small ...
Motivation: Chemical named entity recognition is used to automat-ically identify mentions to chemica...
The rapid increase in the flow rate of published digital information in all disciplines has resulted...
The automatic extraction of chemical information from text requires the recognition of chemical enti...
Background: The past decade has seen an upsurge in the number of publications in chemistry. The ever...
The automatic extraction of chemical information from text requires the recognition of chemical enti...
The identification of a chemical compound solely based on its name requires comprehensive chemical k...
textabstractBackground: A wide range of chemical compound databases are currently available for phar...
Over the last few decades, there has been an increasing number of attempts at creating systems capab...
<p>The communication of chemistry-related information occurs both via print and electronic media and...
This article presents the mechanisms of the inorganic chemistry nomenclature formation in French lan...
Kolarik C, Klinger R, Friedrich CM, Hofmann-Apitius M, Fluck J. Chemical Names: Terminological Resou...
Abstract Background Classification of chemical compounds into compound classes by using structure de...
In this paper we study the problem of classifying chemical compound datasets. We present an algorit...
Background Recent years have seen an explosion in the availability of data in the chemistry domain....
Abstract Background A significant portion of the biomedical and chemical literature refers to small ...
Motivation: Chemical named entity recognition is used to automat-ically identify mentions to chemica...
The rapid increase in the flow rate of published digital information in all disciplines has resulted...
The automatic extraction of chemical information from text requires the recognition of chemical enti...
Background: The past decade has seen an upsurge in the number of publications in chemistry. The ever...
The automatic extraction of chemical information from text requires the recognition of chemical enti...
The identification of a chemical compound solely based on its name requires comprehensive chemical k...
textabstractBackground: A wide range of chemical compound databases are currently available for phar...
Over the last few decades, there has been an increasing number of attempts at creating systems capab...
<p>The communication of chemistry-related information occurs both via print and electronic media and...
This article presents the mechanisms of the inorganic chemistry nomenclature formation in French lan...
Kolarik C, Klinger R, Friedrich CM, Hofmann-Apitius M, Fluck J. Chemical Names: Terminological Resou...
Abstract Background Classification of chemical compounds into compound classes by using structure de...
In this paper we study the problem of classifying chemical compound datasets. We present an algorit...
Background Recent years have seen an explosion in the availability of data in the chemistry domain....
Abstract Background A significant portion of the biomedical and chemical literature refers to small ...
Motivation: Chemical named entity recognition is used to automat-ically identify mentions to chemica...