Hey Cristian, Sorry for the late reply, I am currently on summer break but will get back on it in one-two weeks.
Can't really say when there will be a new release. This usually involves other components as well and it might take time to vote. However, some things to expect for the WSD component: - Support for the different types of classifiers for the supervised approaches (right now only ME based). - Support for augmenting the general domain training with specific domain information. Best, Anthony On Thu, Sep 17, 2015 at 11:18 PM, Cristian Petroaca < cristian.petro...@gmail.com> wrote: > Hi Anthony, > > Do you know when will the WSD component be available in an OpenNLP release? > > Thanks, > Cristian > > On Thu, Sep 10, 2015 at 10:32 AM, Cristian Petroaca < > cristian.petro...@gmail.com> wrote: > > > Yes, that's what I was looking for. > > Thanks Aliaksandr. > > > > On Wed, Sep 9, 2015 at 9:39 PM, Aliaksandr Autayeu < > aliaksa...@autayeu.com > > > wrote: > > > >> Cristian, the reference you gave basically uses synset offsets - 1740 is > >> entity, 1930 is physical entity, etc. However, in YAGO they seems to > have > >> added 100000000 to those offsets. > >> > >> Synset offset is the fastest way to get into WordNet dictionary, because > >> it > >> is a direct file offset. Offset alone is not enough though, you also > need > >> POS - part of speech. Speed probably is the reason most people access > >> WordNet this way. However, offset is not the best "key", especially for > >> indexing, because offsets change as WordNet evolves. SenseKeys (e.g. > >> bank%1:14:00:: > >> and bank%1:21:01::) should be more suitable for indexing. > >> > >> If you're looking to connect with YAGO above, you might do something > along > >> the lines of > >> ....getWordBySenseKey(sensekey).getSynset().getOffset and then add > >> 100000000 > >> to get the YAGO ids. > >> > >> Aliaksandr > >> > >> > >> On 9 September 2015 at 09:51, Cristian Petroaca < > >> cristian.petro...@gmail.com > >> > wrote: > >> > >> > I am looking for the Sense Id of the word. It has this format here : > >> > > >> > > >> > http://resources.mpi-inf.mpg.de/yago-naga/yago/download/yago/yagoWordnetIds.txt > >> > > >> > > >> > On Tue, Sep 8, 2015 at 6:47 PM, Anthony Beylerian < > >> > anthony.beyler...@gmail.com> wrote: > >> > > >> > > Hi, > >> > > > >> > > Thanks it is still being improved. > >> > > > >> > > I am not sure what you mean by type or database ID. > >> > > Currently the sense source and the sense ID are returned. > >> > > > >> > > For example: > >> > > > >> > > "I went to the bank to deposit money." > >> > > target : bank (index : 4) > >> > > expected output : [WORDNET bank%1:14:00:: 21.6, WORDNET > bank%1:21:01:: > >> > > 5.8,... etc] > >> > > > >> > > Where "bank%1:14:00::" is a SenseKey which you can query WordNet > with > >> to > >> > > give you a sense definition. > >> > > > >> > > You can do this using the default dictionary : > >> > > > >> > > > >> > > >> > Dictionary.getDefaultResourceInstance().getWordBySenseKey(sensekey).getSynset().getGloss(); > >> > > > >> > > Hope this is what you are looking for, otherwise please clarify. > >> > > > >> > > Anthony Beylerian > >> > > > >> > > On Tue, Sep 8, 2015 at 5:34 PM, Cristian Petroaca < > >> > > cristian.petro...@gmail.com> wrote: > >> > > > >> > > > Hi Anthony, > >> > > > > >> > > > I had a chance to test the wsd component. That's great work. > Thanks. > >> > > > One question, is it possible to return the wordnet type (or > database > >> > id) > >> > > of > >> > > > the disambiguated word? > >> > > > > >> > > > Thanks, > >> > > > Cristian > >> > > > > >> > > > On Fri, Jul 24, 2015 at 1:14 PM, Anthony Beylerian < > >> > > > anthonybeyler...@hotmail.com> wrote: > >> > > > > >> > > > > Hi, > >> > > > > > >> > > > > To try out the ongoing implementations, after checking out the > >> > sandbox > >> > > > > repository please try these steps : > >> > > > > 1- Create a resource models directory: > >> > > > > > >> > > > > - src > >> > > > > - test > >> > > > > - resources > >> > > > > + models > >> > > > > > >> > > > > 2- Include the following pre-trained models and dictionary in > that > >> > > > > directory: > >> > > > > You can find those here [1] if you like or pre-train your own > >> models. > >> > > > > > >> > > > > { > >> > > > > en-token.bin, > >> > > > > en-pos-maxent.bin, > >> > > > > en-sent.bin,en-ner-person.bin,en-lemmatizer.dict > >> > > > > } > >> > > > > > >> > > > > As to train the IMS approach you need to include training data > >> like > >> > > > > senseval3 [2]: > >> > > > > For now, please add these folders : > >> > > > > - src > >> > > > > - test > >> > > > > - resources > >> > > > > - supervised > >> > > > > + raw > >> > > > > + models > >> > > > > + dictionary > >> > > > > > >> > > > > You can find the data files here [2]. > >> > > > > > >> > > > > 3- We included two examples [LeskTester.java] and > [IMSTester.java] > >> > that > >> > > > > you can run directly, or make your own tests. > >> > > > > > >> > > > > To run a custom test, minimally you need to have a tokenized > text > >> or > >> > > > > sentence for example for Lesk: > >> > > > > > >> > > > > 1>> String[] words = > >> > > Loader.getTokenizer().tokenize(sentence); > >> > > > > > >> > > > > Chose the index of the word to disambiguate in the token array. > >> > > > > > >> > > > > 2>> int wordIndex= 6; > >> > > > > > >> > > > > Then just create a WSDisambiguator object for example for Lesk : > >> > > > > > >> > > > > 3>> Lesk lesk = new Lesk(); > >> > > > > > >> > > > > And you can call the default disambiguation method > >> > > > > > >> > > > > 4>> lesk.disambiguate(words,wordIndex); > >> > > > > > >> > > > > You will get an array of strings with the following format : > >> > > > > > >> > > > > Lesk : [Source SenseKey Score] > >> > > > > > >> > > > > To read the sense definitions you can use the method : > >> > > > > [opennlp.tools.disambiguator.Constants.printResults] > >> > > > > > >> > > > > For using the variations of Lesk, you will need to create and > >> > > configure a > >> > > > > parameters object: > >> > > > > 5>> LeskParameters leskParams = new LeskParameters(); > >> > > > > 6>> > >> > > > > > >> > > > >> leskParams.setLeskType(LeskParameters.LESK_TYPE.LESK_BASIC_CTXT_WIN_BF); > >> > > > > 7>> leskParams.setWin_b_size(4); 8>> > >> > > > > leskParams.setDepth(3); 9>> lesk.setParams(leskParams); > >> > > > > > >> > > > > Typically, IMS should perform better than Lesk, since Lesk is a > >> > classic > >> > > > > method but it usually used as a baseline along with the most > >> frequent > >> > > > sense > >> > > > > (MFS). > >> > > > > However, we will be testing and adding more techniques. > >> > > > > > >> > > > > In any case, please feel free to ask for more details. > >> > > > > > >> > > > > Best, > >> > > > > > >> > > > > Anthony > >> > > > > > >> > > > > [1] : > >> > > > > > >> > > > > >> > > > >> > > >> > https://drive.google.com/folderview?id=0B67Iu3pf6WucfjdYNGhDc3hkTXd1a3FORnNUYzd3dV9YeWlyMFczeHU0SE1TcWwyU1lhZFU&usp=sharing > >> > > > > [2] : > >> > > > > > >> > > > > >> > > > >> > > >> > https://drive.google.com/file/d/0ByL0dmKXzHVfSXA3SVZiMnVfOGc/view?usp=sharing > >> > > > > > Date: Fri, 24 Jul 2015 09:54:02 +0200 > >> > > > > > Subject: Re: Word Sense Disambiguator > >> > > > > > From: kottm...@gmail.com > >> > > > > > To: dev@opennlp.apache.org > >> > > > > > > >> > > > > > It would be nice if you could share instructions on how to run > >> it. > >> > > > > > I also would like to give it a try. > >> > > > > > > >> > > > > > Jörn > >> > > > > > > >> > > > > > On Fri, Jul 24, 2015 at 4:54 AM, Anthony Beylerian < > >> > > > > > anthonybeyler...@hotmail.com> wrote: > >> > > > > > > >> > > > > > > Hello, > >> > > > > > > Yes for the moment we are only using WordNet for sense > >> > > > definitions.The > >> > > > > > > plan is to complete the package by mid to late August, but > if > >> you > >> > > > like > >> > > > > you > >> > > > > > > can follow up on the progress from the sandbox. > >> > > > > > > Best regards, > >> > > > > > > Anthony > >> > > > > > > > Date: Thu, 23 Jul 2015 15:36:57 +0300 > >> > > > > > > > Subject: Word Sense Disambiguator > >> > > > > > > > From: cristian.petro...@gmail.com > >> > > > > > > > To: dev@opennlp.apache.org > >> > > > > > > > > >> > > > > > > > Hi, > >> > > > > > > > > >> > > > > > > > I saw that there are people actively working on a Word > Sense > >> > > > > > > Disambiguator. > >> > > > > > > > DO you guys know when will the module be ready to use? > Also > >> I > >> > > > assume > >> > > > > that > >> > > > > > > > wordnet is used to define the disambiguated word meaning? > >> > > > > > > > > >> > > > > > > > Thanks, > >> > > > > > > > Cristian > >> > > > > > > > >> > > > > > > > >> > > > > > >> > > > > > >> > > > > >> > > > >> > > >> > > > > >
