Tag: Named Entity

CheNER – Chemical Named Entity Recognizer

CheNER

:: DESCRIPTION

CheNER is a named entity recognition tool, that uses Conditional Random Fields for identifying mentions of chemicals in text, focusing on IUPAC entities.

::DEVELOPER

the Structural Computational Biology Group at CNIO

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX / Windows
  • JRE

:: DOWNLOAD

 CheNER

:: MORE INFORMATION

Citation

Bioinformatics. 2014 Apr 1;30(7):1039-40. doi: 10.1093/bioinformatics/btt639. Epub 2013 Nov 13.
CheNER: chemical named entity recognizer.
Usié A1, Alves R, Solsona F, Vázquez M, Valencia A.

BANNER 0.2 – Named Entity Recognition System

BANNER 0.2

:: DESCRIPTION

BANNER is a named entity recognition system, primarily intended for biomedical text. It is a machine-learning system based on conditional random fields and contains a wide survey of the best features in recent literature on biomedical named entity recognition (NER). BANNER is portable and is designed to maximize domain independence by not employing semantic features or rule-based processing steps. It is therefore useful to developers as an extensible NER implementation, to researchers as a standard for comparing innovative techniques, and to biologists requiring the ability to find novel entities in large amounts of text.

::DEVELOPER

BioAI Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ Windows/ MacOsX
  • Java

:: DOWNLOAD

 BANNER

:: MORE INFORMATION

Citation

Pac Symp Biocomput. 2008:652-63.
BANNER: an executable survey of advances in biomedical named entity recognition.
Leaman R, Gonzalez G.

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