Hi Hernan, Really nice. I try it today.
It might be what I need. I come back if installation pb. Cheers, Cédrick > Le 8 mars 2019 à 03:34, Hernán Morales Durand <hernan.mora...@gmail.com> a > écrit : > > Hi Cédrick, > > I wrote some years ago an interface to a named-entity recognizer: > https://80738163270632.blogspot.com/2015/02/stner-interface-to-stanford-named.html > > I think that was Pharo 5, so you may want to check if there are load > problems in current Pharo. > > The blogger post didn't parsed correctly the output but for the input: > > StSocketNERClient new > tagText: 'Argentina President Kirchner has been asked to testify in > court on the death of Alberto Nisman the crusading prosecutor who had > accused her of conspiring to cover up involvement of Iran' > > > output would be: > > '<location>Argentina</LOCATION> President <person>Kirchner</PERSON> > has been asked to testify in court on the death of <person>Alberto > Nisman</PERSON> the crusading prosecutor who had accused her of > conspiring to cover up involvement of <location>Iran</LOCATION>' > > Cheers, > > Hernán > > El jue., 7 mar. 2019 a las 6:53, Cédrick Béler (<cdric...@gmail.com>) > escribió: >> >> Hi all, >> >> I’ve often got the need to analyse some random unstructured text to discover >> (structured) information (in email for instance), to extract : >> - emails >> - telephone numbers >> - addresses >> - events >> - person names (according to a list of known persons), >> - etc… >> >> Apple do it in email for instance (strangely, this is not generalized). >> >> >> So my questions are : >> - do we have something equivalent in Smalltalk/Pharo ? (I didn’t find) >> - if not, what strategy would you use ? >> => I do really stupid text analysis (substrings, finding @, …, parsing >> according to the text structure when there is… kind of Soup parsing…) >> => I feel this is a job for PetitParser ? And would be a nice feet to the >> new GToolkit. >> >> All ideas or suggestions are welcome ;-) >> >> >> TIA, >> >> Cédrick >> >> >> >
