This paper describes the adaptation and assessment of three stateof-the-art publicly available, widely used, biomedical abbreviation recognition systems developed originally to process English scientific literature. The underlying assumption of using these tools was that abbreviations, and abbreviationdefinition pairs do show similar properties shared by texts written in both languages. The thr...

Abbreviations in Chinese are widely observed in Chinese spoken language. Automatic generation of Chinese abbreviations helps to improve Chinese natural language understanding systems and Chinese search engine. The abbreviation generation is treated as a character-based tagging problem. Due to limited training data, Chinese abbreviation generation suffers from data sparseness. Two types of strat...

This study examined the use of neural word embeddings for clinical abbreviation disambiguation, a special case of word sense disambiguation (WSD). We investigated three different methods for deriving word embeddings from a large unlabeled clinical corpus: one existing method called Surrounding based embedding feature (SBE), and two newly developed methods: Left-Right surrounding based embedding...

The present paper describes a robust approach for abbreviating terms. First, in order to incorporate non-local information into abbreviation generation tasks, we present both implicit and explicit solutions: the latent variable model, or alternatively, the label encoding approach with global information. Although the two approaches compete with one another, we demonstrate that these approaches ...

We propose programming language mechanisms to reduce redundancy in program source code. These abbreviation mechanisms, shorthands, make programs shorter and easier to write and read. In addition, we provide a framework for describing language abbreviation mechanisms.