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 > > > > > > > >
