Re: Event Extraction Engine

2015-12-15 Thread Cristian Petroaca
Hi All, I've defined the rules and ontology schemas. We will have 2 types of files : rule files and ontology files. Ontology files have .ont extension and they contain the following structure: Name=Dbpedia BaseUrl=http://dbpedia.org #Entities Acquisition=$BaseUrl/page/Aquisition Financing=$BaseU

Re: Event Extraction Engine

2015-11-18 Thread Dileepa Jayakody
Hi Cristian, Great stuff! I will look into Stanford NLP project to see how we can do that. Regards, Dileepa On Thu, Nov 19, 2015 at 2:06 AM, Cristian Petroaca < cristian.petro...@gmail.com> wrote: > I created a git repository which contains the event extraction engine here > https://github.com/

Re: Event Extraction Engine

2015-11-18 Thread Cristian Petroaca
I created a git repository which contains the event extraction engine here https://github.com/cpetroaca/stanbol-event-extraction-engine. I've started working on an event rule schema that will also incorporate a generic ontology definition schema so that one can say that #Person= http://dbpedia.org/

Re: Event Extraction Engine

2015-10-12 Thread Cristian Petroaca
Can we get a separate branch where we can start developing the Event Extraction engine? Thanks On Sun, Sep 20, 2015 at 4:26 PM, Cristian Petroaca < cristian.petro...@gmail.com> wrote: > Sorry, hit sent before finishing the mail :). > > So, you will disambiguate it using wordnet like this : > > h

Re: Event Extraction Engine

2015-09-20 Thread Cristian Petroaca
Sorry, hit sent before finishing the mail :). So, you will disambiguate it using wordnet like this : http://wordnetweb.princeton.edu/perl/webwn?s=attack&sub=Search+WordNet&o2=&o0=1&o8=1&o1=1&o7=&o5=&o9=&o6=&o3=&o4=&h=00 And then you would have a rule file which would contain something like :

Re: Event Extraction Engine

2015-09-20 Thread Cristian Petroaca
Hi Dileepa, I've been thinking more about the approach using a Word Sense Disambiguation tool to classify the verb in the sentence and I think it may be a good approach. The verb seems to be the event trigger and once you know its actual meaning (by applying a Wordnet class or some other DB used f

Re: Event Extraction Engine

2015-09-09 Thread Dileepa Jayakody
Hi Cristian, Interesting ideas. Let me do some background reading on this, so I can also participate in the discussion better. Thanks, Dileepa On Wed, Sep 9, 2015 at 3:17 PM, Cristian Petroaca < cristian.petro...@gmail.com> wrote: > Another approach to this would be to use a semantic role label

Re: Event Extraction Engine

2015-09-09 Thread Cristian Petroaca
Another approach to this would be to use a semantic role labeling tool [1] to determine the type of relation between the subject and object. Or we could use Word Sense Disambiguation to determine the wordnet class of the verb (this way we have a standard relation definition) and based on what rela

Re: Event Extraction Engine

2015-09-08 Thread Cristian Petroaca
Hi Dileepa, Unfortunately I did not have the time to work on this at all so there is no code base . But I'd be happy to start contributing with something to this engine and I think it would also be very helpful if you will be able to contribute to this as well. I did get a chance to test the Stanf

Re: Event Extraction Engine

2015-09-08 Thread Dileepa Jayakody
Hi Cristian and all, Can I please know the status of this event extraction engine? Event extraction is a really useful feature for semantic enhancements and I am interested in collaborating with this work. Is there any code base you are currently working on for this engine work? Thanks, Dileepa

Re: Event Extraction Engine

2015-02-17 Thread Cristian Petroaca
Hi Edi, Thanks for the info. Stanford Relation Extractor sounds very interesting. I'll give it a try. 2015-02-17 17:00 GMT+02:00 Edi Bice : > Hi Cristian, > Here are a few more resources on Semantic Role/Relationship Labeling: > 1. FrameNet, VerbNet and WordNet on the data side2. Shalmaneser, SE

Re: Event Extraction Engine

2015-02-17 Thread Edi Bice
Hi Cristian, Here are a few more resources on Semantic Role/Relationship Labeling: 1. FrameNet, VerbNet and WordNet on the data side2. Shalmaneser, SEMAFOR and Stanford Relation Extractor on the code side The last one links to a great paper which I believe holds great potential for Stanbol: A Lin