Al
|
d4143c1685
|
[parsing] Adding an optimization to the parser API where, if the entire input is a single known geographic phrase like New York, it returns the most likely label from the training data. That way e.g. a search for 'Florida' doesn't get tagged as 'house.' This doesn't affect training, only prediction.
|
2016-01-15 20:07:21 -05:00 |
|
Al
|
b9bf5c629e
|
[fix] Moving address_parser_response_destroy into libpostal so caller can free
|
2015-12-15 00:52:24 -05:00 |
|
Al
|
fe4c528f26
|
[parser] Using different char_array for each of the potential phrases as token i
|
2015-12-12 03:23:26 -05:00 |
|
Al
|
e6303f70f3
|
[fix] removing printf
|
2015-12-11 02:53:22 -05:00 |
|
Al
|
88b8023ac8
|
[fix] Bug in address parser feature extraction, can hold onto the wrong pointer
|
2015-12-10 18:42:28 -05:00 |
|
Al
|
cfd0dc69f2
|
[parsing] Using the entire phrase as the ith word
|
2015-12-07 01:19:38 -05:00 |
|
Al
|
24208c209f
|
[parsing] Adding a training data derived index of complete phrases from suburb up to country. Only adding bias and word features for non phrases, using UNKNOWN_WORD and UNKNOWN_NUMERIC for infrequent tokens (not meeting minimum vocab count threshold).
|
2015-12-05 14:34:19 -05:00 |
|
Al
|
89677d94a3
|
[parsing] Initial commit of the address parser, training/testing, feature function, I/O
|
2015-11-30 14:48:13 -05:00 |
|