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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. . . . →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 . . . →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. . . . →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 . . . →Read More:Laying out penn treebank output of Stanford parser | ||||
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