Chunking with maximum entropy models

Rob Koeling · 2000

In this paper I discuss a first attempt to create a text chunker using a Maximum Entropy model. The first experiments, implementing classifiers that tag every word in a sentence with a phrase-tag using very local lexical information, part-of-speech tags and phrase tags of surrounding words, give encouraging results.

Read the paper · More papers on PaperTik