Introduction to Random Indexing by Magnus Sahlgren.
I thought this would be useful alongside Reflective Random Indexing and indirect inference….
Just a small sample of what you will find:
Note that this methodology constitutes a radically different way of conceptualizing how context vectors are constructed. In the “traditional” view, we first construct the co-occurrence matrix and then extract context vectors. In the Random Indexing approach, on the other hand, we view the process backwards, and first accumulate the context vectors. We may then construct a cooccurrence matrix by collecting the context vectors as rows of the matrix.
I like non-traditional approaches. Some work (like random indexing) and some don’t.
What new/non-traditional approaches have you tried in the last week? We learn as much (if not more) from failure as success.