Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2006 Dec 15;22(24):3089-95.
doi: 10.1093/bioinformatics/btl534. Epub 2006 Oct 18.

Building an Abbreviation Dictionary Using a Term Recognition Approach


Building an Abbreviation Dictionary Using a Term Recognition Approach

Naoaki Okazaki et al. Bioinformatics. .


Motivation: Acronyms result from a highly productive type of term variation and trigger the need for an acronym dictionary to establish associations between acronyms and their expanded forms.

Results: We propose a novel method for recognizing acronym definitions in a text collection. Assuming a word sequence co-occurring frequently with a parenthetical expression to be a potential expanded form, our method identifies acronym definitions in a similar manner to the statistical term recognition task. Applied to the whole MEDLINE (7 811 582 abstracts), the implemented system extracted 886 755 acronym candidates and recognized 300 954 expanded forms in reasonable time. Our method outperformed base-line systems, achieving 99% precision and 82-95% recall on our evaluation corpus that roughly emulates the whole MEDLINE.

Availability and supplementary information: The implementations and supplementary information are available at our web site:

Similar articles

See all similar articles

Cited by 23 articles

See all "Cited by" articles

Publication types

MeSH terms

LinkOut - more resources