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A machine learning approach to acronym generation
Proceedings of the ACL-ISMB Workshop on Linking Biological Literature, Ontologies and Databases Mining Biological Semantics - ISMB '05
This paper presents a machine learning approach to acronym generation. We formalize the generation process as a sequence labeling problem on the letters in the definition (expanded form) so that a variety of Markov modeling approaches can be applied to this task. To construct the data for training and testing, we extracted acronym-definition pairs from MEDLINE abstracts and manually annotated each pair with positional information about the letters in the acronym. We have built an MEMM-baseddoi:10.3115/1641484.1641488 fatcat:otmj4uj7tzgk3fm4dlq2lfzoga