Tag: Chunking
After Wood’s paper [1], Augmented Transition Networks (ATN) became popular in the 1970s, for parsing text. An ATN is a generalized transition network with two major enhancements: Support for recursive transitions, including jumping to other ATNs Performing arbitrary actions when edges are traversed Remembering state through the use of registers See the “Further Reading” section at […]
In my previous post, I showed how to parse sentences using OpenNLP. Another useful feature supported by OpenNLP is “chunking”. That is the subject of today’s article. Chunking stands between part-of-speech tagging and full parse in terms of the information it captures. POS tagging assigns part of speech to individual tokens in a sentence. So, […]
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