Hello, CoNLL 2011 shared tasks has information about many types of approaches to develop coreference system. The winner (Stanford) was rule based.
http://conll.cemantix.org/2011/introduction.html Cheers, Rodrigo On Thu, Apr 25, 2013 at 3:15 PM, Svetoslav Marinov < [email protected]> wrote: > What corpus has the English Coref module been trained on? > > Can someone provide some guidance into which language specific resources > (modulo Sentence splitters, tokenizers, POS tagger, Parser and NER) are > needed in order to get the coreference working for a new language. A > Wordnet? What else? > > Thank you in advance! > > Best, > Svetoslav > > On 2013-03-06 14:15, "Jim - FooBar();" <[email protected]> wrote: > > >right, finally the moment of truth! here is what I get using your loop: > > > > Mention set:: [ this British industrial conglomerate ] > > Mention set:: [ a director ] > > Mention set:: [ Consolidated Gold Fields PLC ] > > Mention set:: [ chairman :: former chairman ] > > Mention set:: [ 55 years ] > > Mention set:: [ Rudolph Agnew ] > > Mention set:: [ Elsevier N . V . :: the Dutch publishing group ] > > Mention set:: [ Mr . Vinken ] > > Mention set:: [ a nonexecutive director Nov . 29 ] > > Mention set:: [ the board ] > > Mention set:: [ 61 years ] > > Mention set:: [ Pierre Vinken ] > > > >As you can see I am missing these 2 which do seem correct (in your > >output): > > > > Mention set:: [ Pierre Vinken :: Mr. Vinken ] > > Mention set:: [ a nonexecutive director :: chairman :: former > >chairman :: a director ] > > > >Jim > > > >ps: I can confirm that the NEs can be retrieved correctly from the > >parse-tree just like yours... > > > > > > > >On 06/03/13 12:19, Jim - FooBar(); wrote: > >> ok found your code and it answers all my questions!....I'll do the > >> same now and see what happens... :) > >> > >> Jim > >> > >> > >> On 06/03/13 12:01, Jim - FooBar(); wrote: > >>> I'm sorry I forgot another thing...how do you ask for the NEs from > >>> the Mention sets? I can only ask for the NEs from the Parse object... > >>> > >>> Jim > >>> > >>> > >>> On 06/03/13 11:58, Jim - FooBar(); wrote: > >>>> Hi there, > >>>> > >>>> I apologise for the late reply but I've been a bit ill the past few > >>>> days... > >>>> So I've got some good news and some bad news...let me explain: > >>>> > >>>> here are my parses for each sentence (notice how they are identical > >>>> to yours -> GOOD news!): > >>>> ------------------------------------- > >>>> (TOP (S (NP (person (NP (NNP Pierre) (NNP Vinken)) (, ,)) (ADJP (NP > >>>> (CD 61) (NNS years)) (JJ old))) (, ,) (VP (MD will) (VP (VB join) > >>>> (NP (DT the) (NN board)) (PP (IN as) (NP (DT a) (JJ nonexecutive) > >>>> (NN director) (NNP Nov) (NNP .) (CD 29))))) (. .))) > >>>> > >>>> (TOP (S (NP (NNP Mr) (. .) (NNP Vinken)) (VP (VBZ is) (NP (NP (NN > >>>> chairman)) (PP (IN of) (NP (NP (NNP Elsevier) (NNP N) (NNP .) (NNP > >>>> V) (NNP .)) (, ,) (NP (DT the) (JJ Dutch) (NN publishing) (NN > >>>> group)))))) (. .))) > >>>> > >>>> (TOP (NP (person (NP (NNP Rudolph) (NNP Agnew)) (, ,)) (UCP (ADJP > >>>> (NP (CD 55) (NNS years)) (JJ old)) (CC and) (S (NP (NP (JJ former) > >>>> (NN chairman)) (PP (IN of) (NP (NNP Consolidated) (NNP Gold) (NNP > >>>> Fields) (NNP PLC)))) (, ,) (VP (VBD was) (VP (VBN named) (S (NP (NP > >>>> (DT a) (NN director)) (PP (IN of) (NP (DT this) (JJ British) (JJ > >>>> industrial) (NN conglomerate))))))))) (. .))) > >>>> -------------------------------- > >>>> > >>>> Doing this right is more than half the story for the > >>>> coref-linker...Now, though there is a slight problem. What exactly > >>>> is a Mention set in your output? How come you're not getting an > >>>> array of DiscourseEntities back? In addition, are you filtering the > >>>> resulting array for entities with size more than 1? > >>>> > >>>> I have to say, your output does seem correct from a coreference > >>>> resolution perspective...the problem is I can't understand why we're > >>>> getting different results...If you could explain what is a > >>>> MentionSet that would be great... > >>>> > >>>> thanks again, > >>>> > >>>> Jim > >>>> > >>>> > >>>> > >>>> On 04/03/13 05:29, Ant B wrote: > >>>>> Hi Jim, > >>>>> > >>>>> No problem - a good excuse to tidy the code. I added a few > >>>>> println() calls to display input text, sentence parse objects, > >>>>> coreference mention sets and named entities in those sets. Note > >>>>> that I only added "person" NERs to the sentence parse. > >>>>> > >>>>> > >>>>> <start of code output> > >>>>> > >>>>> Input sentences:: > >>>>> 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. > >>>>> > >>>>> Sentence#1 parse after POS & NER tag: > >>>>> (TOP (S (NP (person (NP (NNP Pierre) (NNP Vinken))(, ,)) (ADJP (NP > >>>>> (CD 61) (NNS years)) (JJ old)))(, ,) (VP (MD will) (VP (VB join) > >>>>> (NP (DT the) (NN board)) (PP (IN as) (NP (NP (DT a) (JJ > >>>>> nonexecutive) (NN director)) (NP (NNP Nov.) (CD 29))))))(. .))) > >>>>> > >>>>> Sentence#2 parse after POS & NER tag: > >>>>> (TOP (S (NP (NNP Mr.) (NNP Vinken)) (VP (VBZ is) (NP (NP (NN > >>>>> chairman)) (PP (IN of) (NP (NP (NNP Elsevier) (NNP N.V.))(, ,) (NP > >>>>> (DT the) (JJ Dutch) (NN publishing) (NN group))))))(. .))) > >>>>> > >>>>> Sentence#3 parse after POS & NER tag: > >>>>> (TOP (NP (person (NP (NNP Rudolph) (NNP Agnew))(, ,)) (UCP (ADJP > >>>>> (NP (CD 55) (NNS years)) (JJ old)) (CC and) (S (NP (NP (JJ former) > >>>>> (NN chairman)) (PP (IN of) (NP (NNP Consolidated) (NNP Gold) (NNP > >>>>> Fields) (NNP PLC))))(, ,) (VP (VBD was) (VP (VBN named) (S (NP (NP > >>>>> (DT a) (NN director)) (PP (IN of) (NP (DT this) (JJ British) (JJ > >>>>> industrial) (NN conglomerate)))))))))(. .))) > >>>>> > >>>>> Now displaying all discourse entities:: > >>>>> Mention set:: [ this British industrial conglomerate ] > >>>>> Mention set:: [ a nonexecutive director :: chairman :: former > >>>>> chairman :: a director ] > >>>>> Mention set:: [ Consolidated Gold Fields PLC ] > >>>>> Mention set:: [ 55 years ] > >>>>> Mention set:: [ Rudolph Agnew ] > >>>>> Mention set:: [ Elsevier N.V. :: the Dutch publishing group ] > >>>>> Mention set:: [ Pierre Vinken :: Mr. Vinken ] > >>>>> Mention set:: [ Nov. 29 ] > >>>>> Mention set:: [ the board ] > >>>>> Mention set:: [ 61 years ] > >>>>> > >>>>> > >>>>> Now printing out the named entities from mention sets:: > >>>>> [Rudolph Agnew ] > >>>>> [Pierre Vinken ] > >>>>> > >>>>> <end of code output> > >>>>> > >>>>> > >>>>> I do not know for certain that my code is correct, so thanks for > >>>>> the chance to compare data. I think this matches up with your > >>>>> results. > >>>>> > >>>>> Let me know if you want to hack around any further - I'd really > >>>>> like a correct, reviewed & validated coreference example. I'm sure > >>>>> others would benefit from such an example too. > >>>>> > >>>>> > >>>>> Ant > >>>>> > >>>>> On Mar 3, 2013, at 12:37 PM, Jim - FooBar(); <[email protected]> > >>>>> wrote: > >>>>> > >>>>>> do you still happen to have that project locally in your hard > >>>>>> drive? is there any chance you could run this and post the > >>>>>> results? Alternatively, I'd have to clone the repo and give it a > >>>>>> spin...I imagine it would be a lot easier for you as you are the > >>>>>> author... > >>>>>> > >>>>>> let me know if you can't do that...I noticed in your code that you > >>>>>> already use the sentence i am interested in which is good.... :) > >>>>>> > >>>>>> Jim > >>>>>> > >>>>>> > >>>>>> On 03/03/13 03:29, [email protected] wrote: > >>>>>>> Hey guys, > >>>>>>> > >>>>>>> You may have already seen this, but I posted a really simple > >>>>>>> "getting started" Eclipse project on my GitHub profile for the > >>>>>>> coreference API: > >>>>>>> https://github.com/amb-enthusiast/CoreferenceTest > >>>>>>> > >>>>>>> It is similar to what you have already explored, but may provide > >>>>>>> some validation. > >>>>>>> > >>>>>>> > >>>>>>> I recently experimented using NER results from Stanford CoreNLP > >>>>>>> in sentence parse objects. In cases where better named entity > >>>>>>> info is added to the sentence parse, coref performance improves. > >>>>>>> > >>>>>>> Hope this helps in some way. > >>>>>>> > >>>>>>> > >>>>>>> Ant > >>>>>>> > >>>>>>> ----- Reply message ----- > >>>>>>> From: "Jim - FooBar();" <[email protected]> > >>>>>>> To: <[email protected]> > >>>>>>> Subject: coref results seem weird > >>>>>>> Date: Sat, Mar 2, 2013 9:10 am > >>>>>>> > >>>>>>> > >>>>>>> see this old message by Jorn... check the next message message in > >>>>>>> the > >>>>>>> thread as well. at some point he posts detailed code...it might be > >>>>>>> easier to put together a dummy project in order to use the API > >>>>>>> which is > >>>>>>> more flexible... > >>>>>>> > >>>>>>> Jim > >>>>>>> > >>>>>>> > >>>>>>> > http://mail-archives.apache.org/mod_mbox/opennlp-users/201112.mbox/% > >>>>>>>[email protected]%3E > >>>>>>> > >>>>>>> > >>>>>>> > >>>>>>> On 02/03/13 16:05, James Kosin wrote: > >>>>>>>> I'm trying to use the CLI. I have other code in another project > >>>>>>>> that > >>>>>>>> loads the dictionary properly using the property file to specify > >>>>>>>> the > >>>>>>>> information. Coreference does it differently... > >>>>>>>> > >>>>>>>> On 3/2/2013 6:32 AM, Jim - FooBar(); wrote: > >>>>>>>>> I should be able to help you...are you going through the cli or > >>>>>>>>> the > >>>>>>>>> API? I bet there is something wrong with the Wordnet directory > >>>>>>>>> you're > >>>>>>>>> passing...I had similar issues... > >>>>>>>>> If you're using the API let me know and I'll send you a code > >>>>>>>>> snippet > >>>>>>>>> that may help... > >>>>>>>>> > >>>>>>>>> Jim > >>>>>>>>> > >>>>>>>>> On 02/03/13 05:17, James Kosin wrote: > >>>>>>>>>> Jim, > >>>>>>>>>> > >>>>>>>>>> I can't seem to get past the NULL pointer exceptions when > >>>>>>>>>> Coreferencer is trying to load the dictionaries. So, this will > >>>>>>>>>>be > >>>>>>>>>> much later now. I'm going to sleep and play tooth fairy. > >>>>>>>>>> > >>>>>>>>>> James > >>>>>>>>>> > >>>>>>>>>> > >>>>>>>>>> On 3/1/2013 8:18 AM, Jim - FooBar(); wrote: > >>>>>>>>>>> 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-resolutio > >>>>>>>>>>>>>n-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-resolu > >>>>>>>>>>>>>>tion-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... > >>>>>>>>>>>>>>>> > >>>>>>>>>>>>>>>> > >>>>> > >>>> > >>> > >> > > > > > > >
