Hi Anuj On Thu, Nov 28, 2013 at 1:51 PM, Anuj Kumar <anujs...@gmail.com> wrote: > I second that. Regex will work better w.r.t. the default trained model of > OpenNLP.
Both such projects do look interesting: > Also, take a look at this extractor- https://code.google.com/p/heideltime/ and As this is GPLv3 you can not directly use it to implement an EnhancementEngine that is part of the Stanbol Codebase. Integrating it via a RESTful service would be an option. > Stanford's tagger- http://nlp.stanford.edu/downloads/sutime.shtml#! The same is true for SuTime as all Stanford NLP components are under GPL. If we want to integrate those projects I suggest to extend the Stanbol RESTful NLP protocol [1] and service [2] so that it can represent date/time points and ranges. SuTime support could be added to the already existing Stanbol-Stanford integration [3]. For HeidelTime one would need to implement a similar component. But before integrating those I would prefer to have a base-line engine that is directly integrated in Stanbol. Looks like a Regex based approach could be sufficient for that. WDYT Jayani? best Rupert [1] https://issues.apache.org/jira/browse/STANBOL-878 [2] https://issues.apache.org/jira/browse/STANBOL-892 [3] https://github.com/westei/stanbol-stanfordnlp > > It will be useful to have similar temporal expression enhancement engine in > Stanbol. > > Regards, > Anuj > > > On Thu, Nov 28, 2013 at 11:05 AM, Rupert Westenthaler < > rupert.westentha...@gmail.com> wrote: > >> Hi Jayani, >> >> I was not even aware that there exists a Time model for OpenNLP. >> Documentation shows that this uses a purely statistical model so I am >> wondering about the quality. Note also that OpenNLP only provides a >> prebuilt model for English [1]. >> >> AFAIK OpenNLP will only provide you with the information that some >> tokens do represent a date. It will not provide you the parsed >> xsd:dateTime. So if you use this Engine you will still need to >> implement this part of your own. So most likely you will end up using >> regex patterns to parse the actual time from the Tokens marked by >> OpenNLP as time. >> >> So I am wondering if it is not better to start with Regex from the >> beginning. If you search for "Regey Date Time extraction" you can >> fined a huge set of example you could start from. >> >> best >> Rupert >> >> >> [1] http://opennlp.sourceforge.net/models-1.5/ >> >> >> >> On Thu, Nov 28, 2013 at 5:15 AM, Jayani Withanawasam >> <jayaniwithanawa...@gmail.com> wrote: >> > Hi Dileepa, >> > >> > Thank you so much for your valuble feedback. I'm working on this. >> > >> > >> > On Mon, Nov 25, 2013 at 9:00 PM, Dileepa Jayakody < >> dileepajayak...@gmail.com >> >> wrote: >> > >> >> Hi Jayani, >> >> >> >> There are several enhancement engines in Stanbol developed based on >> >> OpenNLP. (opennlp-ner, opennlp-sentence, opennlp-pos...See [1]) Each of >> >> these engines focus on a particular enhancement aspect using OpenNLP. >> >> Therefore I think it's better to write a new engine for temporal >> >> extractions rather than extending the OpenNLP-NER engine. >> >> >> >> Thanks, >> >> Dileepa >> >> >> >> [1] >> >> >> https://svn.apache.org/repos/asf/stanbol/trunk/enhancement-engines/opennlp >> >> >> >> >> >> On Mon, Nov 25, 2013 at 4:30 PM, Jayani Withanawasam < >> >> jayaniwithanawa...@gmail.com> wrote: >> >> >> >> > Hi, >> >> > >> >> > I'm researching on adding new enhancement engine for extracting date >> and >> >> > time (Temporal extraction) to Stanbol as suggested by Rupert. >> >> > >> >> > There, it is being found that OpenNLP has an entity extraction unit >> for >> >> > date and time. >> >> > Also, I noticed that OpenNLP is already integrated to Stanbol in NER >> >> > engine. >> >> > >> >> > So, as per my understanding, there are two options to extract date and >> >> > time. >> >> > >> >> > One is to have a seperate enhancement engine for date and time >> >> information >> >> > extraction. Another one is to add date time extraction as a code >> >> > enhancement to exisitng OpenNLP NER engine. >> >> > >> >> > What is your opinion on this? Is there any other approach which you >> think >> >> > that would be better? >> >> > >> >> > Thank you >> >> > Jayani >> >> > >> >> >> >> >> >> -- >> | Rupert Westenthaler rupert.westentha...@gmail.com >> | Bodenlehenstraße 11 ++43-699-11108907 >> | A-5500 Bischofshofen >> -- | Rupert Westenthaler rupert.westentha...@gmail.com | Bodenlehenstraße 11 ++43-699-11108907 | A-5500 Bischofshofen
