The Medical Text Indexer (MTI) is a program for producing MeSHindexing recommendations. It is the major product of NLM's Indexing Initiative and has been used in both semi-automated and fully automated indexing environments at the Library since mid 2002. We report here on an experiment conducted with MEDLINEindexers to evaluate MTI's performance and to generate ideas for its improvement as a tool for user-assisted indexing. We also discuss some ltering techniques developed to improve MTI's accuracy for use primarily in automatically producing the indexing for several abstracts collections
Abstract Background: Indexing is a crucial step in any information retrieval system. In MEDLINE, a w...
This report describes work concerned with the statistical evaluation of the output of MEDICO automat...
AbstractThe recent improvements in capabilities of desktop computers and communications networks giv...
Due to the large yearly growth of MEDLINE, MeSH in-dexing is becoming a more difficult task for a re...
Summarization: AMTEx is a medical document indexing method, specifically designed for the automatic ...
Other research has shown that although the abstract is more information dense, the full text of a sc...
Medical document indexing can benefit from both automation and human feedback. This research develop...
AbstractThe volume of biomedical literature has experienced explosive growth in recent years. This i...
The biomedical literature is extensively catalogued and indexed in MEDLINE. MEDLINE indexing is done...
Summarization: AMTEx is a medical document indexing method, specifically designed for the automatic ...
\u3cp\u3eTerm extraction relates to extracting the most characteristic or important terms (words or ...
AbstractThe rapid growth of biomedical literature is evident in the increasing size of the MEDLINE r...
Automatic indexing is evaluated as an aid/replacement to manual indexing for biomedical literature. ...
The use of controlled vocabulary to identify relevant articles is a central element of bibliographic...
Clinical dermatology cases are presented as images and semistructured text describing skin lesions a...
Abstract Background: Indexing is a crucial step in any information retrieval system. In MEDLINE, a w...
This report describes work concerned with the statistical evaluation of the output of MEDICO automat...
AbstractThe recent improvements in capabilities of desktop computers and communications networks giv...
Due to the large yearly growth of MEDLINE, MeSH in-dexing is becoming a more difficult task for a re...
Summarization: AMTEx is a medical document indexing method, specifically designed for the automatic ...
Other research has shown that although the abstract is more information dense, the full text of a sc...
Medical document indexing can benefit from both automation and human feedback. This research develop...
AbstractThe volume of biomedical literature has experienced explosive growth in recent years. This i...
The biomedical literature is extensively catalogued and indexed in MEDLINE. MEDLINE indexing is done...
Summarization: AMTEx is a medical document indexing method, specifically designed for the automatic ...
\u3cp\u3eTerm extraction relates to extracting the most characteristic or important terms (words or ...
AbstractThe rapid growth of biomedical literature is evident in the increasing size of the MEDLINE r...
Automatic indexing is evaluated as an aid/replacement to manual indexing for biomedical literature. ...
The use of controlled vocabulary to identify relevant articles is a central element of bibliographic...
Clinical dermatology cases are presented as images and semistructured text describing skin lesions a...
Abstract Background: Indexing is a crucial step in any information retrieval system. In MEDLINE, a w...
This report describes work concerned with the statistical evaluation of the output of MEDICO automat...
AbstractThe recent improvements in capabilities of desktop computers and communications networks giv...