Using noun phrases for navigating biomedical literature on Pubmed: how many updates are we losing track of?

ABSTRACT: Author-supplied citations are a fraction of the related literature for a paper. The "related citations" on PubMed is typically dozens or hundreds of results long, and does not offer hints why these results are related. Using noun phrases derived from the sentences of the paper, we show it is possible to more transparently navigate to PubMed updates through search terms that can associate a paper with its citations. The algorithm to generate these search terms involved automatically extracting noun phrases from the paper using natural language processing tools, and ranking them by the number of occurrences in the paper compared to the number of occurrences on the web. We define search queries having at least one instance of overlap between the author-supplied citations of the paper and the

SUBMITTER: Srikrishna D 

PROVIDER: S-EPMC3173492 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature