In practical applications, decoding speed is very important. Modern structured learning technique adopts template based method to extract millions of features. Complicated templat...
Automatic text tagging is an important component in higher level analysis of text corpora, and its output can be used in many natural language processing applications. In language...
In Natural Language Processing (NLP), the quality of a system depends to a great extent on the quality of the linguistic resources it uses. Due to the unpredictable character of v...
We study the problem of combining the outcomes of several different classifiers in a way that provides a coherent inference that satisfies some constraints. In particular, we deve...
Supertagging is an important technique for deep syntactic analysis. A supertagger is usually trained independently of the parser using a sequence labeling method. This presents an...