Abbreviation is a common linguistic phenomenon with wide popularity and high rate of growth. Correctly linking full forms to their abbreviations will be helpful in many applications. For example, it can improve the recall of information retrieval systems. An intuition to solve this is to build an abbreviation dictionary in advance. This paper investigates an automatic abbreviation generation method, which uses a stacked approach for Chinese abbreviation generation. We tackle this problem in two stages. First we use a sequence labeling method to generate a list of candidate abbreviations. Then, we try to use search engine to incorporate web data to re-rank the candidates, and finally get the best candidate. We use a Chinese abbreviation corpus which contains 8015 abbreviation pairs to evaluate the performance. Experiments revealed that our method gave better performance than the baseline methods.
REF used web search engine information to rerank the candidate abbreviations generated by statistical approaches.
Constructing Chinese Abbreviation Dictionary: A Stacked Approach
COLING
Computer Science