Sorry, the F1 > 90% was imprecise. I explained the approach and detailed the results in another thread.
On Sun, Jan 8, 2012 at 8:54 PM, william.co...@gmail.com < william.co...@gmail.com> wrote: > The documentation is here: > http://incubator.apache.org/opennlp/documentation/1.5.2-incubating/manual/opennlp.html#tools.chunker > > I implemented a Portuguese shallow parser using the Chunker, and it is > performing good enough (F1 > 90%). > > First I run POS Tagger and after the Chunker to find noun and verb phrases. > > Finally I run another chunker which model I trained to find subject, verb > and object. I concatenate the POS Tag and the phrase tag and used it in the > POS Tag field of the chunker. > > > > On Sun, Jan 8, 2012 at 8:37 PM, Sina Bahram <sbah...@nc.rr.com> wrote: > >> >> Incidentally, I am exploring this JavaDoc in the mean-time: >> >> http://opennlp.sourceforge.net/api/opennlp/tools/chunker/ChunkerME.html >> >> not sure if that's the latest/greatest way to do it? >> >> Website: www.SinaBahram.com >> Twitter: @SinaBahram >> >> >> -----Original Message----- >> From: Sina Bahram [mailto:sbah...@nc.rr.com] >> Sent: Sunday, January 08, 2012 5:36 PM >> To: opennlp-users@incubator.apache.org; johnstew...@aya.yale.edu >> Subject: RE: deriving commands from sentences >> >> Also, is there documentation on the chunker API? On the manual, it says >> "// todo" >> >> Take care, >> Sina >> >> Website: www.SinaBahram.com >> Twitter: @SinaBahram >> >> >> -----Original Message----- >> From: John Stewart [mailto:cane.c...@gmail.com] >> Sent: Sunday, January 08, 2012 4:20 PM >> To: opennlp-users@incubator.apache.org >> Subject: Re: deriving commands from sentences >> >> I would use the chunker to obtain verb and noun phrases from the >> input. You can then look for specific verbs and nouns you're >> interested in. >> >> jds >> >> On Sun, Jan 8, 2012 at 4:05 PM, Sina Bahram <sbah...@nc.rr.com> wrote: >> > Hi all, >> > >> > I just joined the list after reading through the OpenNlp manual and >> playing with some code. >> > >> > I think the tools provided by OpenNlp are fantastic; however my >> question is this. are there other collections of code, recipes, >> > papers, or any additional resources at all instructing one how to use >> these tools to achieve a specific purpose? >> > >> > For example, write now, I'd like to write a simple command parser. >> > >> > Maybe things like this: >> > >> > Make that bigger >> > Zoom in >> > Slice that 9 ways vertically >> > Give me 10 horizontal slices >> > Take me to Washington DC >> > Put North Carolina here >> > >> > How can I use the OpenNlp tools to do this? I understand that name >> finders can be used to find things like "North Carolina", >> > although I could also simply use a POS tagger, I'm guessing, and simply >> see what got marked as prp ... but how can I put together >> a >> > command parser, then start improving upon it through iteration, >> inclusion of other heuristics and algorithms, etc. etc. >> > >> > Can I use the parser to shortcut through some of this? for example, can >> I ask the parser what the direct object of the verb of a >> > sentence is, and expect it to reliably, within reason of course, give >> me the major verb (the action) and major direct object (the >> > subject, perhaps) of a given sentence? >> > >> > For example: >> > >> > Input: >> > Put North Carolina here >> > >> > >> > And then I can call my methods like this? >> > getMainAction() --> returns "put" >> > getMainSubject() --> returns "north Carolina" >> > >> > or whatever ... I understand it's maybe not that simple, but I'm simply >> wanting to know how and where to start, if that makes >> sense? >> > >> > Lastly, and definitely most importantly, thanks go to every single >> author and contributor of OpenNlp. I'm quite impressed just by >> > playing with examples. >> > >> > Thanks in advance for any help. >> > >> > take care, >> > Sina >> > >> > >> > >> > >> > >> > Website: www.SinaBahram.com >> > Twitter: @SinaBahram >> > >> > >> > >> >> >
