doc/TODO.md Immediate: Update based on recent work

Using Wordnet sp instead of per-LAT binary value fails:
 test 6a56d55 2014-10-23 AnswerScoreLogistic:... 79/298/430 18.4%/69.3% avgscore 0.482 avgtime 32.156

Carrying it per-LAT in addition to the binary value overfits:
train 5b314ef 2014-10-23 AnswerScoreLogistic:... 98/302/430 22.8%/70.2% avgscore 0.491 avgtime 30.759
 test 5b314ef 2014-10-23 AnswerScoreLogistic:... 95/298/430 22.1%/69.3% avgscore 0.489 avgtime 31.128

-sqrt(-sp) or raw sp instead of exp(sp) is terrible:
 test 944cdd3 2014-10-23 AnswerScoreLogistic:... 76/298/430 17.7%/69.3% avgscore 0.480 avgtime 30.869
(raw sp had even worse training performance so I didn't even fully
benchmark it)

One-sided WN specificity makes actually no sense as essentially there is
almost no hypernyme expansion on the answer side, so we actually already
are one-sided.