Differences
This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Last revision Both sides next revision | ||
courses:rg:2013:convolution-kernels [2013/03/11 18:42] dusek |
courses:rg:2013:convolution-kernels [2013/03/11 18:54] dusek |
||
---|---|---|---|
Line 32: | Line 32: | ||
- < | - < | ||
- < | - < | ||
- | - < | + | - < |
+ | - Convolution is defined like this: < | ||
+ | - There is a (tiny) error in the last formula of Section 3. You cannot actually multiply tree parses, so it should read: < | ||
+ | |||
+ | ==== Report ==== | ||
+ | |||
+ | We discussed the answers to the questions most of the time. Other issues raised in the discussion were: | ||
+ | |||
+ | * **Usability** -- the approach is only usable for // | ||
+ | * **Scalability** -- they only use 800 sentences and 20 candidates per sentence for training. We believe that for large data (milions of examples) this will become too complex. | ||
+ | * **Evaluation** -- it looks as if they used a non-standard evaluation metric to get " |