Re: extraction tool using CRF++
On Tuesday, October 1, 2013 3:04:00 PM UTC, Joost Molenaar wrote: > Hi Ron, > > In the python/ subdirectory of the CRF++ source package there's a > > README with instructions on how to use the CRFPP python module. > Joost, Hoops, didn't see that! Yes, Thanks! :) -- https://mail.python.org/mailman/listinfo/python-list
Re: extraction tool using CRF++
Hi Ron,
In the python/ subdirectory of the CRF++ source package there's a
README with instructions on how to use the CRFPP python module.
HTH,
Joost
On Tue, Oct 1, 2013 at 4:24 PM, Vlastimil Brom wrote:
> 2013/10/1 cerr :
>> Hi,
>>
>> I want to write an extraction tool using CRF++
>> (http://crfpp.googlecode.com/svn/trunk/doc/index.html).
>> I have written a trainings file and a template:
>> training:
>> banana FOODB-NP
>> bread FOODI-NP
>> template:
>> U01:%x[0,1]
>> U02:%x[1,1]
>>
>> and now I want to go ahead and extract the foods from a sentence like "how
>> do I make a banana bread". Also, I'm unsure how I interface to crf++ with
>> python, I compiled and installed it from source as described on the above
>> website but I don't have a crf module available in python...
>> --
>> https://mail.python.org/mailman/listinfo/python-list
>
>
> Hi,
> I have unfortunately no experience with CRF++; if there is no python
> wrapper for it available, the usage might not be (easily) possible -
> depending on the character of this library, you may try accessing it
> e.g. via ctypes.
>
> Alternatively, you may try another packages already available, e.g.
> NLTK: http://nltk.org/
>
>>>> import nltk
>>>> any(synset.lexname == "noun.food" for synset in
>>>> nltk.corpus.wordnet.synsets("apple"))
> True
>>>> any(synset.lexname == "noun.food" for synset in
>>>> nltk.corpus.wordnet.synsets("bread"))
> True
>>>> any(synset.lexname == "noun.food" for synset in
>>>> nltk.corpus.wordnet.synsets("wine"))
> True
>>>> any(synset.lexname == "noun.food" for synset in
>>>> nltk.corpus.wordnet.synsets("book"))
> False
>>>> any(synset.lexname == "noun.food" for synset in
>>>> nltk.corpus.wordnet.synsets("pencil"))
> False
>
> # of course there might be some surprise, probably due to polysemy ore
> some specifics of the semantic description...
>
>>>> any(synset.lexname == "noun.food" for synset in
>>>> nltk.corpus.wordnet.synsets("dog"))
> True
>>>> any(synset.lexname == "noun.food" for synset in
>>>> nltk.corpus.wordnet.synsets("white"))
> True
>>>>
>
> cf.
> http://nltk.org/
> http://nltk.googlecode.com/svn/trunk/doc/howto/wordnet.html
> http://www.velvetcache.org/2010/03/01/looking-up-words-in-a-dictionary-using-python
> http://wordnet.princeton.edu/man/lexnames.5WN.html
>
> hth,
>vbr
> --
> https://mail.python.org/mailman/listinfo/python-list
--
https://mail.python.org/mailman/listinfo/python-list
Re: extraction tool using CRF++
2013/10/1 cerr :
> Hi,
>
> I want to write an extraction tool using CRF++
> (http://crfpp.googlecode.com/svn/trunk/doc/index.html).
> I have written a trainings file and a template:
> training:
> banana FOODB-NP
> bread FOODI-NP
> template:
> U01:%x[0,1]
> U02:%x[1,1]
>
> and now I want to go ahead and extract the foods from a sentence like "how do
> I make a banana bread". Also, I'm unsure how I interface to crf++ with
> python, I compiled and installed it from source as described on the above
> website but I don't have a crf module available in python...
> --
> https://mail.python.org/mailman/listinfo/python-list
Hi,
I have unfortunately no experience with CRF++; if there is no python
wrapper for it available, the usage might not be (easily) possible -
depending on the character of this library, you may try accessing it
e.g. via ctypes.
Alternatively, you may try another packages already available, e.g.
NLTK: http://nltk.org/
>>> import nltk
>>> any(synset.lexname == "noun.food" for synset in
>>> nltk.corpus.wordnet.synsets("apple"))
True
>>> any(synset.lexname == "noun.food" for synset in
>>> nltk.corpus.wordnet.synsets("bread"))
True
>>> any(synset.lexname == "noun.food" for synset in
>>> nltk.corpus.wordnet.synsets("wine"))
True
>>> any(synset.lexname == "noun.food" for synset in
>>> nltk.corpus.wordnet.synsets("book"))
False
>>> any(synset.lexname == "noun.food" for synset in
>>> nltk.corpus.wordnet.synsets("pencil"))
False
# of course there might be some surprise, probably due to polysemy ore
some specifics of the semantic description...
>>> any(synset.lexname == "noun.food" for synset in
>>> nltk.corpus.wordnet.synsets("dog"))
True
>>> any(synset.lexname == "noun.food" for synset in
>>> nltk.corpus.wordnet.synsets("white"))
True
>>>
cf.
http://nltk.org/
http://nltk.googlecode.com/svn/trunk/doc/howto/wordnet.html
http://www.velvetcache.org/2010/03/01/looking-up-words-in-a-dictionary-using-python
http://wordnet.princeton.edu/man/lexnames.5WN.html
hth,
vbr
--
https://mail.python.org/mailman/listinfo/python-list
extraction tool using CRF++
Hi, I want to write an extraction tool using CRF++ (http://crfpp.googlecode.com/svn/trunk/doc/index.html). I have written a trainings file and a template: training: banana FOODB-NP bread FOODI-NP template: U01:%x[0,1] U02:%x[1,1] and now I want to go ahead and extract the foods from a sentence like "how do I make a banana bread". Also, I'm unsure how I interface to crf++ with python, I compiled and installed it from source as described on the above website but I don't have a crf module available in python... -- https://mail.python.org/mailman/listinfo/python-list
