Like you, I'm using the latest WOrdnet and JWNL (1.4 RC_3 is on maven
you don't need to build it from source)....
Now that you've set up your end could you please perform a run on the
standard example sentence? In addition could you try to add the
named-entities to the parse-tree?
If yes, please post your results here for comparison with mine?
thanks a lot,
Jim
On 01/03/13 02:21, James Kosin wrote:
Hi Jim,
What version of the JWNL and WordNet dictionaries are you using?
I never got much more than researching what it is used for, and its
importance to handling the task.
I've just updated my end for the 3.1 WordNet dictionaries. But, I'm
also using 1.4_rc3 from sources to build JWNL. The extJWNL seems to
be more apt to handling more types of dictionaries (supporting UTF-8
and others), and actually creating and modifying them as well; which
isn't needed when we are really only wanting read usage.
James
On 2/28/2013 4:49 AM, Jim foo.bar wrote:
Hi James,
thanks for your reply and your comments but that is not quite what I
asked...I've looked at all the web resources related to the opennlp
coref component, otherwise I would never have gotten it to work!
My problem is about the results it brings back, in particular I'd
like to compare my produced discourse entities with someone else's
on the same piece of text. Since I'm working on a language other than
Java, that would confirm that my code is at least correct. On a
secondary note, I'd like to see how to insert the named-entities into
the parse tree before deploying the TrreBankLinker. I followed the
instructions posted my Jorn sometime last year but I 'm not sure how
the output should look like .That is why I posted what I'm
getting...Can you see any 'person' named-entities in my
DicourseEntities?
More importantly, if you run the coref component on the standard
example sentence (Pierre Vinken, ...) what do you get? Could you post
the exact output?
Whoever psoted this:
http://blog.dpdearing.com/2012/11/making-coreference-resolution-with-opennlp-1-5-0-your-bitch/
did not try to insert any NEs into the parse tree. In addition, his
output is slightly different than mine...I don't know if that is
because of a newer version of JWNL.jar that I'm using or something
else...
Jim
On 28/02/13 02:51, James Kosin wrote:
Jim,
Here is a place to start, with maybe some more examples:
http://stackoverflow.com/questions/8629737/coreference-resolution-using-opennlp
James
On 2/27/2013 1:26 PM, Jim - FooBar(); wrote:
Hmmm.... interesting! When I run it on these 2 simple sentences:
/"Mary likes pizza but she also likes kebabs. Knowing her, I'd give
it 2 weeks before she turns massive!"/
I get perfect results!
#<DiscourseEntity [ Mary, she, her, she ]>
this demonstrates 3 things:
- my understanding of coref is indeed correct
- the coref component can link entities from separate sentences
- possibly that my code is fine
any thoughts?
Jim
On 27/02/13 18:14, Jim - FooBar(); wrote:
Hi all,
I finally managed to get coref working (phew!-my god that was
tricky) but I'm slightly confused with the results so I'd like to
see if anyone else has tried that out...Using the standard
paragraph used in the other examples:
/"Pierre Vinken, 61 years old, will join the board as a
nonexecutive director Nov. 29. Mr. Vinken is chairman of Elsevier
N.V., the Dutch publishing group. Rudolph Agnew, 55 years old and
former chairman of Consolidated Gold Fields PLC, was named a
director of this British industrial conglomerate."/
deploying the coref component gives me the following:
I must note that I'm trying to pass the named entities as well
(person). I've confirmed that the spans are correctly identitified
(3 spans for this particular example) and added to the parse tree
via /opennlp.tools.parser.Parse.addNames//("person", span,
parse.getTagNodes());/
[#<DiscourseEntity [ this British industrial conglomerate ]>,
#<DiscourseEntity [ a director of this British industrial
conglomerate ]>,
#<DiscourseEntity [ Consolidated Gold Fields PLC ]>,
#<DiscourseEntity [ chairman of Elsevier N . V . , the Dutch
publishing group, former chairman of Consolidated Gold Fields PLC ]>,
#<DiscourseEntity [ 55 years ]>,
#<DiscourseEntity [ Rudolph Agnew , 55 years old and former
chairman of Consolidated Gold Fields PLC , was named a director of
this British industrial conglomerate . ]>,
#<DiscourseEntity [ Elsevier N . V . , the Dutch publishing
group, the Dutch publishing group ]>,
#<DiscourseEntity [ Mr . Vinken ]>,
#<DiscourseEntity [ a nonexecutive director Nov . 29 ]>,
#<DiscourseEntity [ the board ]>,
#<DiscourseEntity [ 61 years ]>,
#<DiscourseEntity [ Pierre Vinken , 61 years old ]>
]
*filtering for more than 1 mentions (per Jorn's suggestion) gives
back:*
[#<DiscourseEntity [ chairman of Elsevier N . V . , the Dutch
publishing group, former chairman of Consolidated Gold Fields PLC ]>
#<DiscourseEntity [ Elsevier N . V . , the Dutch publishing
group, the Dutch publishing group ]>
]
Assuming that this is what it's supposed to output, can someone
explain this? First of all where are the named-entities? Secondly,
out of the 2 filtered DiscourseEntities, both seem plain wrong!
Moreover, where is #<DiscourseEntity [Rudolph Agnew, //former
chairman of Consolidated Gold Fields PLC/,/ the Dutch publishing
group, director of this British industrial conglomerate ]> ???
Either I'm not understanding coreference, or I've coded the thing
wrong or the models is not very good! Which one is it? Has anyone
else attempted this? Can we compare results on this particular
sentence?
thanks in advance :)
Jim
ps: my code is in Clojure but it is based on a code snippet
provided by Jorn to someone on the mailing list last year . I can
easily provide it but I don't think it will be of much help...
