-
```
I'm pretty sure that I found that using preceding and following word stems does
not work as well as using the actual words themselves. I changed this in the
DefaultFeatureExtractor in the org.c…
-
I noticed that `nltk.corpus.alpino.tagged_sents()` delivers sentences with the words out of order.
Investigation learned that, due to a lexical tree structure existing in the alpino xml element tree, …
-
```
I'm pretty sure that I found that using preceding and following word stems does
not work as well as using the actual words themselves. I changed this in the
DefaultFeatureExtractor in the org.c…
-
```
Stanford CoreNLP (http://nlp.stanford.edu/software/corenlp.shtml) provides a
bunch of nice NLP tools: a part of speech tagger, a named entity tagger, a
syntactic parser, a dependency parser, and…
-
```
we need to solidify the part-of-speech tagging functionality so that you
don't have to resort to using the example code or having to do it all
yourself if you want a specialized part-of-speech tag…
-
```
We need to provide a mechanism for returning K-best results from a
classifier for sequential tagging tasks. There are two primary drivers for
this. 1) a viterbi-style search through the space of…
-
```
DKPro Core 1.4.0 the property "tagger.tagset" to indicate the tagset for a
POS-tagger model. It is more sensible to use "pos.tagset", because it is a
"part-of-speech" tagset and not a "tagger" …
-
```
DKPro Core 1.4.0 the property "tagger.tagset" to indicate the tagset for a
POS-tagger model. It is more sensible to use "pos.tagset", because it is a
"part-of-speech" tagset and not a "tagger" …
-
```
Stanford CoreNLP (http://nlp.stanford.edu/software/corenlp.shtml) provides a
bunch of nice NLP tools: a part of speech tagger, a named entity tagger, a
syntactic parser, a dependency parser, and…
-
```
Stanford CoreNLP (http://nlp.stanford.edu/software/corenlp.shtml) provides a
bunch of nice NLP tools: a part of speech tagger, a named entity tagger, a
syntactic parser, a dependency parser, and…