Semi-automatic indexing of full text biomedical articles. Export

@article{Gay_AMIA_2005, abstract = {The main application of U.S. National Library of Medicine's Medical Text Indexer (MTI) is to provide indexing recommendations to the Library's indexing staff. The current input to MTI consists of the titles and abstracts of articles to be indexed. This study reports on an extension of MTI to the full text of articles appearing in online medical journals that are indexed for Medline. Using a collection of 17 journal issues containing 500 articles, we report on the effectiveness of the contribution of terms by the whole article and also by each section. We obtain the best results using a model consisting of the sections Results, Results and Discussion, and Conclusions together with the article's title and abstract, the captions of tables and figures, and sections that have no titles. The resulting model provides indexing significantly better (7.4\%) than what is currently achieved using only titles and abstracts.}, address = {Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD 20894, USA.}, author = {Gay, Clifford W. and Kayaalp, Mehmet and Aronson, Alan R.}, citeulike-article-id = {821554}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/16779044}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=16779044}, issn = {1942-597X}, journal = {AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium}, keywords = {health, indexing, ir}, pages = {271--275}, posted-at = {2009-11-05 16:17:42}, priority = {2}, title = {Semi-automatic indexing of full text biomedical articles.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/16779044}, year = {2005} }

TY - JOUR ID - Gay_AMIA_2005 L3 - citeulike-article-id:821554 N2 - The main application of U.S. National Library of Medicine's Medical Text Indexer (MTI) is to provide indexing recommendations to the Library's indexing staff. The current input to MTI consists of the titles and abstracts of articles to be indexed. This study reports on an extension of MTI to the full text of articles appearing in online medical journals that are indexed for Medline. Using a collection of 17 journal issues containing 500 articles, we report on the effectiveness of the contribution of terms by the whole article and also by each section. We obtain the best results using a model consisting of the sections Results, Results and Discussion, and Conclusions together with the article's title and abstract, the captions of tables and figures, and sections that have no titles. The resulting model provides indexing significantly better (7.4%) than what is currently achieved using only titles and abstracts. JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium SN - 1942-597X AD - Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD 20894, USA. EP - 275 TI - Semi-automatic indexing of full text biomedical articles. SP - 271 KW - health KW - indexing KW - ir AU - Gay, Clifford AU - Kayaalp, Mehmet AU - Aronson, Alan PY - 2005/// UR - http://view.ncbi.nlm.nih.gov/pubmed/16779044 ER -