Rohan McLeod <rhn@jeack.com.au> wrote:
So would this have implications for the problem of constructing 'the meaning of a sentence'; given the meaning of it's constituent words ?
Yes, exactly.
Do you think that the search engine problem might be broken into two parts:
1/ A precise symbolic way of expressing a complex search pattern;
say analogous to a 'regular expression' formula
2/ A 'short, simple sentence; natural language processing' algorithm;
which then constructs sequences of such symbolic search formulas; equivalent to the disambiguated natural language sentence ?
How would you then associate this with search results? It wouldn't be feasible to parse and analyze all of the text of a large collection of Web pages, so far as I am aware.
Search engines use statistical techniques rather than logic-based semantics to process queries.
Do you see a place for neural-nets in this area ?
They're among the probabilistic techniques available for application, yes. However, neural networks are well outside my field.