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That said, you could end up applying this to a "news article IDE" automatically, with less human intervention required -- or at least, provide automatic suggest
by lstamour 12y ago
That said, you could end up applying this to a "news article IDE" automatically, with less human intervention required -- or at least, provide automatic suggestions. I couldn't find any clear links on the topic, but here are a few that can be followed with a bit of research:
http://www.nltk.org/book/ch07.html http://www.nltk.org/book/ch07.html
http://stanbol.apache.org/docs/trunk/components/enhancer/nlp/ http://stanbol.apache.org/docs/trunk/components/enhancer/nlp...
This last one was actually trained on WSJ content: http://nlp.lsi.upc.edu/freeling/index.php?option=com_content&task=view&id=23&Itemid=58 http://nlp.lsi.upc.edu/freeling/index.php?option=com_content...
At this point, though, I'm thinking it'd be the equivalent to spelling and grammar suggestions in Word, appreciated somewhat but ultimately considered useless the first time it screws up. But still better than nothing, right? ;-)
- mindcrime 12y agoStanbol could definitely be used as part of a system like this. In fact, that sort of thing is a big part of how we're using it at Fogbeam, although aimed at assorted knowledge workers in an enterprise setting, and not at journalists specifically.