Name
Affiliation
Papers
JAMES G. MORK
National Library of Medicine, Bethesda, MD
42
Collaborators
Citations 
PageRank 
70
647
65.22
Referers 
Referees 
References 
1380
705
415
Search Limit
1001000
Title
Citations
PageRank
Year
Automatic recognition of figurative language in biomedical articles.00.342021
Evaluation of System for Selective Indexing Classification.00.342019
A High Recall Classifier for Selecting Articles for MEDLINE Indexing.00.342019
Increasing UMLS Coverage and Reducing Ambiguity via Automated Creation of Synonymous Terms.00.342018
Finding medication doses in the liteature.00.342018
12 years on - Is the NLM medical text indexer still useful and relevant?50.432017
Resolving Hierarchical Ambiguity in Indexing Recommendations.00.342016
Feature engineering for MEDLINE citation categorization with MeSH.70.492015
Extracting Characteristics of the Study Subjects from Full-Text Articles.00.342015
Vocabulary Density Method for Customized Indexing of MEDLINE Journals.10.372014
Recent Enhancements to the NLM Medical Text Indexer.130.712014
Comparison and combination of several MeSH indexing approaches.110.742013
Identifying Publication Types Using Machine Learning.10.352013
The NLM Medical Text Indexer System for Indexing Biomedical Literature.241.672013
MeSH indexing based on automatically generated summaries.170.732013
Using the Argumentative Structure of Scientific Literature to Improve Information Access40.432013
Mining MEDLINE for problems associated with vitamin D.00.342013
GeneRIF indexing: sentence selection based on machine learning.150.572013
Structured Abstracts in MEDLINE: Implementation Based on a Retrospective Cohort Study.10.442012
NLM at TREC 2012 Medical Records Track.40.492012
A One-Size-Fits-All Indexing Method Does Not Exist: Automatic Selection Based on Meta-Learning.210.912012
MEDLINE MeSH indexing: lessons learned from machine learning and future directions120.612012
Extracting Rx information from clinical narrative181.212010
UMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text.120.832010
A recent advance in the automatic indexing of the biomedical literature.281.082009
Comment on 'MeSH-up: effective MeSH text classification for improved document retrieval'.00.342009
Methodology for Creating UMLS Content Views Appropriate for Biomedical Natural Language Processing71.062008
Combining Resources to Find Answers to Biomedical Questions191.512007
Fine-grained indexing of the biomedical literature: MeSH subheading attachment for a MEDLINE indexing tool.80.812007
From indexing the biomedical literature to coding clinical text: experience with MTI and machine learning approaches241.712007
Automatic indexing of specialized documents: using generic vs. domain-specific document representations40.622007
Evaluation of French and English MeSH indexing systems with a parallel corpus.110.862005
Knowledge-Intensive and Statistical Approaches to the Retrieval and Annotation of Genomics MEDLINE Citations80.852004
The NLM indexing initiative's Medical Text Indexer131.202004
Gene Indexing: Characterization and Analysis of NLM's GeneRIFs.443.042003
Methods for Accurate Retrieval of MEDLINE Citations in Functional Genomics101.392003
Finding UMLS Metathesaurus concepts in MEDLINE.202.872002
Developing a test collection for biomedical word sense disambiguation.643.442001
The NLM Indexing Initiative13614.792000
Text-based discovery in biomedicine: the architecture of the DAD-system.528.592000
Analysis of Biomedical Text for Chemical Names: A Comparison of Three Methods327.061999
Automated Assignment of Medical Subject Headings.10.351999