I found this answer of Jorn's to someone else but I still do not
understand how the
*OutcomePriorFeatureGenerator*is used!!!
TokenFeatureGenerator:
+ lower cased token, with a window of 2
A window of two means that the feature is generated
for two previous and two next words also.
TokenClassFeatureGenerator:
+ token class (that contains things like first letter is capital)
+ token class combined the the lower cased token
Both featurs are generated with a window length of 2
PreviousMapFeatureGenerator:
+ previous decision features, if the word has been seen before
in the document
BigramNameFeatureGenerator:
+ token bigram feature, with previous word
+ token bigram feature with previous token class
+ token bigram feature with next word
+ token bigram feature with next token class
SentenceFeatureGenerator
+ Sentence begin feature
*
OutcomePriorFeatureGenerator
+ always generates a default feature -> what does that mean???
*
Jim*
*
On 11/12/12 12:07, Jim foo.bar wrote:
I've asked a couple of times before but I got no answer! Jorn replied
to me at some point but his response was very brief and confused me
even more!
I'm begging you!!! I'm writing a paper for BMC bioinformatics and I
cannot explain this feature properly! I'm struggling to find
information on the web...
PLEASE, PLEASE, PLEASE, devote 5 minutes to explain what this feature
does and how it works. An example would be awesome...
thanks in advance...
Jim
