I read about some research today that is both inspiring and exciting. I’ve always been hugely interested in how humans deal with words in their heads and finally we have some interesting answers. This made me play with keyword research and think about how (un)intuitive our methods are right no[...]
Archive for the ‘Information retrieval’ Category
Stemmer: the Ruby version
For those of you interested in NLP stuff, you might know about the Uea-Lite stemmer that I made back in 2005. Jason Adams from the “Mendicant Bug” has made a Ruby port which I’m really pleased about. Now we have my original Perl version, a Java version and a Ruby version Thanks J[...]
Microsoft and Information Retrieval
With the advent of Bing and the fact that it works really well, people are starting to take Microsoft seriously in the search domain. The previous offerings were not as strong as Google and with Google being such a behemoth in search, it was going to take a fair bit to even cause a tremor. [...][...]
New post at SEP
Just to let you know that I blogged over at search Engine People. The post is called “5 Common Information Retrieval Myths“. I get a lot of questions sent to my via social networks and email, and I find myself correcting the same things a lot of the time so I thought I would write [...][...]
Extracting meaning from content: progress
I’m excited when I come across news like this because it’s my area of research. MIT covered this and presented TextRunner, a system capable of extracting meaning from billions of documents. It is not new, but it is working a lot better now which is why it’s exciting. It’s act[...]

