Literature DB >> 17238579

Journal descriptor indexing tool for categorizing text according to discipline or semantic type.

Susanne M Humphrey1, Chris J Lu, Willie J Rogers, Allen C Browne.   

Abstract

A JDI (Journal Descriptor Indexing) tool has been developed at NLM that automatically categorizes biomedical text as input, returning a ranked list, with scores between 0-1, of either JDs (Journal Descriptors, corresponding to biomedical disciplines) or STs (UMLS Semantic Types). Possible applications include WSD (Word Sense Disambiguation) and retrieval according to discipline. The Lexical Systems Group plans to distribute an open source JAVA version of this tool.

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Year:  2006        PMID： 17238579      PMCID： PMC1839325     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN： 1559-4076


  5 in total

1.  Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods.

Authors:  Rachel Chasin; Anna Rumshisky; Ozlem Uzuner; Peter Szolovits
Journal:  J Am Med Inform Assoc       Date:  2014-01-17       Impact factor: 4.497

2.  A High Recall Classifier for Selecting Articles for MEDLINE Indexing.

Authors:  Alastair R Rae; Max E Savery; James G Mork; Dina Demner-Fushman
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

3.  Comparing a Rule Based vs. Statistical System for Automatic Categorization of MEDLINE Documents According to Biomedical Specialty.

Authors:  Susanne M Humphrey; Aurélie Névéol; Julien Gobeil; Patrick Ruch; Stéfan J Darmoni; Allen Browne
Journal:  J Am Soc Inf Sci Technol       Date:  2009-12-01

4.  A recent advance in the automatic indexing of the biomedical literature.

Authors:  Aurélie Névéol; Sonya E Shooshan; Susanne M Humphrey; James G Mork; Alan R Aronson
Journal:  J Biomed Inform       Date:  2008-12-30       Impact factor: 6.317

5.  Three journal similarity metrics and their application to biomedical journals.

Authors:  Jennifer L D'Souza; Neil R Smalheiser
Journal:  PLoS One       Date:  2014-12-23       Impact factor: 3.240
  5 in total

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