This paper proposes a novel method to refine the grammars in parsing by utilizing semantic knowledge from HowNet. Based on the hierarchical state-split approach, which can refine ...
Xiaojun Lin, Yang Fan, Meng Zhang, Xihong Wu, Huis...
Sets of lexical items sharing a significant aspect of their meaning (concepts) are fundamental in linguistics and NLP. Manual concept compilation is labor intensive, error prone a...
User clicks on a URL in response to a query are extremely useful predictors of the URL's relevance to that query. Exact match click features tend to suffer from severe data s...
Huihsin Tseng, Longbin Chen, Fan Li, Ziming Zhuang...
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
We propose a novel objective function for discriminatively tuning log-linear machine translation models. Our objective explicitly optimizes the BLEU score of expected n-gram count...