In Chinese abbreviation prediction, prior studies are limited on positive full forms. This lab assumption is problematic in realworld applications, which have a large portion of negative full forms (NFFs). We propose solutions to solve this problem of generalized abbreviation prediction. Experiments show that the proposed unified method outperforms baselines, with the full-match accuracy of 79.4%. Moreover, we apply generalized abbreviation prediction for improving web search quality.

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... al results on web search demonstrate that our method can significantly improve the search results, with the search F-score increasing from 35.9% to 64.9%. To our knowledge, this is the first study on generalized abbreviation prediction and its application on web search.