Mining Wikipedia, or: How I Learned to Stop Worrying and Love Statistical Algorithms

I took my first AI course during my first degree, in the early 90’s. Back then it was all about expert systems, genetic algorithms, search/planning (A* anyone?). It all seemed clear, smart, intuitive, intelligent…

Then, by the time I got to my second degree in the late 00’s, the AI world has changed by a lot. Statistical approaches took over by a storm, and massive amounts of data seemed to trump intuition and smart heuristics anytime.

It took me a while to adjust, I admit, but by the time I completed my thesis I came to appreciate the power of big data. I now can better see this as an evolution, with heuristics and inutions driving how we choose to analyze and process the data, even if afterwards it’s all “just” number-crunching.

So on this note, I gave a talk today at work on the topic of extracting semantic knowledge from Wikipedia, relating also to our work on ESA and to this being an illustration of the above. Enjoy!

 

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