Pdf

Extended Feature Set for Chemical Named Entity Recognition and Indexing


The BioCreative IV CHEMDNER Task provides participants with the opportunity to compare their methods for chemical named entity recognition (NER) and indexing in a controlled environment. We contributed to this task with our previous conditional random field based system [1] extended by a number of novel general and domain-speci c features. For the latter, we used features derived from two existing chemical NER systems, ChemSpot [2] and OSCAR [3], as well as various external resources. In this paper, we describe our approach and present a detailed ablation study that underlines the positive effect of domain-specific features for chemical NER.


help Contributors

[Tim Rocktäschel] [Michael Weidlich] [Ulf Leser]

help Other Contributors

Torsten Huber, Philippe Thomas

help Attributions

None

help Scales


Organism
Views: 975
  • Created: 16th Dec 2013 at 10:01
  • Last used: 13th Jan 2018 at 07:28

Related items

Ajax-loader-large

Log in / Register

Need an account?
Sign up

Forgotten password?

Front Page

Virtual Liver Network

(v.0.22.0)

Related Projects and friends


Imprint Taverna workflow workbench myExperiment JWS Online ISATAB myGrid Sabio-RK BioPortal Semantic SBML

Powered by:

Ror-logo-32

Icons:
Silk icons 1.3
Crystal Clear icons