Backronym yet to be decided
- Fix
source activate conda
issue:export PATH="/Users/Zack/anaconda2/bin:$PATH"
Backronym yet to be decided
source activate conda
issue: export PATH="/Users/Zack/anaconda2/bin:$PATH"
Breaking these up into tasks:
Tasks:
Presentation structure:
TODO
Notes:
Test Generation Structure
-Test size of 7 on prof nenkova's linguistic class, want to record test time.
-Each question is given to three (minimum to break ties, pilot number) students.
-Maybe eventually just one question for MTurk
-Insert new blanks for really simple words removed (in "the"), or
-canned phrases for each abstract at end.
-maybe include some NYT or gossip stuff (fairly readable, common stuff), and test whether accuracy increase
MTurk -
give link to our website and have them take the test there, after they finishes,
generate code (according to their work on questions (blanks)) they can paste
into MTurk to mark them as finished (for payment and identification)
Language Model -
-use other metrics i.e. use vocab from nyt
-skipping over unseen words,
Zhi:
Zack:
Omar:
General:
I kicked off an nlpgrid job this afternoon that is running through 100 medline files, and pulling all abstracts with the mesh keyword "Obesity". Once that's finished, we can do the stat analysis on the output.
The output for a single topic will be of the form:
<FilesAbstracts>
<Topic>[topic]</Topic>
<File>
<Abstract>[abstract text]</Abstract>
<Abstract>[abstract text]</Abstract>
...
</File>
<File>
<Abstract>[abstract text]</Abstract>
<Abstract>[abstract text]</Abstract>
...
</File>
...
</FilesAbstracts>
Given it's going to take some time for that script to finish, the best move is probably to create a test xml file of the same format, and just test your script on it while we wait for the actual data. In the end, we need to produce a couple of numbers/plots for each topic.
Let me know if you need help with any of this stuff.
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