Code for fast scalable multi-facet intent classification of web search queries using dynamically constructed tree-structured graphical models. This code incorporates (Euro) WordNet, thus exploiting the semantic relationships in the lexicon to improve the classification results.

• WordNet (integrated as MySQL database) https://wordnet.princeton.edu/, https://www.illc.uva.nl/EuroWordNet/
• libdai https://people.kyb.tuebingen.mpg.de/jorism/libDAI/
• matlab (For plotting results. see mcode/ sub-directory)
• MySQL

To compile, goto src/ and run make. The following paths need to be edited for correct compilation:

• WN_ROOT=/usr/local/WordNet-3.0
• DAI_ROOT=${HOME}/Code/libdai

Optional - Only main.cpp uses matlab headers. Present iteration of the code has this commented out.

• MATLAB_ROOT=/chalmers/sw/sup/matlab-2009b

On njlaptop: If the path does not work, add to path the following: /

• See details of configuring for mac on https://developer.apple.com/internet/opensource/osdb.html
• If installing from port, the default location changes to opt/local
  • /opt/local/var/run
  • /opt/local/share/mysql5