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...
