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Dan Farber has written a good article on Powerset. It mostly talks about their grandiose marketing plans and how NLP (Natural Language Processing) will change the world, however it also has a reasonable explanation of what they are doing with fairly transparent references to (expanded) WordNet, named entity recognition, event extraction and semantic web technologies. It is also . . . → Read More: More details emerge on Powerset’s engine I don’t swear! I find that if I use up the swear words in day-to-day situations, I will have nothing to use in the critical moments when I actually need to let the steam out. Interestingly, when I do get those moments, I still do not really swear. But I need to know that such release . . . → Read More: Swearing in esperanto As a starting NLP/CL researcher, I find it really hard to wade through the fragmented community’s research efforts, software and evaluation methods. I am sure, eventually I will settle down into my specific area and will know most of the important works, however I want to have a better view of the general field now. I . . . → Read More: “State of the art” NLP Wiki I am trying to use Stanford NLP parser for my research and I need to look at the trees it produces for large, complex sentences. I have found several packages for laying out the output as trees, but they are all seem to be targeted at visualizing smaller sentences, suitable for illustrating a point in the . . . → Read More: Laying out penn treebank output of Stanford parser |
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