Difference between revisions of "Syntop wsd"

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== April 28 ==
 
== April 28 ==
  
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* In a tree parser, you can use parent node to define the distribution
 
* In a tree parser, you can use parent node to define the distribution
 
* Embed whole thing as graphical model (Jonathan's idea)
 
* Embed whole thing as graphical model (Jonathan's idea)
 +
 +
== Random Notes (on desktop in office) ==
 +
 +
Need to vary hyperparameters ...
 +
 +
== May 15 ==
 +
 +
To generate input files:
 +
* run makeVocabDat.py (note: you may have to modify EXTENSION variable depending on what the files look like ... it could be either ".bnc.parsed" or ".parsed")
 +
* That generates "role-count.dat" and "word-count.dat" ... if you want to change the vocab files, you'll need to sort these and rename them to "sorted-word.dat" and "sorted-role.dat"
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* Then run

Revision as of 21:41, 15 May 2007

April 28

Began writing code, prepared presentation.

April 29

Tested Multinomial sampler and Dirichlet prior classes; still need to test conditioned sampling.

April 30

Started processing parsed files. Presented to WN group, got following suggestions:

  • For parsing using some order, switch to tree parser
  • In a tree parser, you can use parent node to define the distribution
  • Embed whole thing as graphical model (Jonathan's idea)

Random Notes (on desktop in office)

Need to vary hyperparameters ...

May 15

To generate input files:

  • run makeVocabDat.py (note: you may have to modify EXTENSION variable depending on what the files look like ... it could be either ".bnc.parsed" or ".parsed")
  • That generates "role-count.dat" and "word-count.dat" ... if you want to change the vocab files, you'll need to sort these and rename them to "sorted-word.dat" and "sorted-role.dat"
  • Then run