[PDF][PDF] Chunking with maximum entropy models
R Koeling - Fourth conference on computational natural language …, 2000 - aclanthology.org
Fourth conference on computational natural language learning and the …, 2000•aclanthology.org
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 phrasetag using very local lexical information, partof-speech tags and phrase tags of
surrounding words, give encouraging results.
model. The first experiments, implementing classifiers that tag every word in a sentence with
a phrasetag using very local lexical information, partof-speech tags and phrase tags of
surrounding words, give encouraging results.
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 phrasetag using very local lexical information, partof-speech tags and phrase tags of surrounding words, give encouraging results.
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