Spoken language understanding that incorporates prior knowledge into boosting
View Patent ↗A system for understanding entries, such as speech, develops a classifier by employing prior knowledge with which a given corpus of training entries is enlarged threefold. A rule is created for each of the labels employed in the classifier, and the created rules are applied to the given corpus to create a corpus of attachments by appending a weight of ηp(x), or 1−ηp(x), to labels of entries that meet, or fail to meet, respectively, conditions of the labels' rules, and to also create a corpus of non-attachments by appending a weight of 1−ηp(x), or ηp(x), to labels of entries that meet, or fail to meet conditions of the labels' rules.
1. A method of understanding presented data in the context of a particular application, comprising the steps of:
normalizing said data to reduce variations in said presented data, to develop normalized data;
assigning portions of said normalized data to be instances of objects from a set of preselected objects when said portions of said normalized data meet predetermined conditions, thereby forming entity-extracted data; and
classifying said entity-extracted data by determining whether any of a predetermined set of labels should be attached to said entity-extracted data where said classifying is carried out with a classifier represented by
f
(
x
,
l
)
=
∑
t
=
0
T
α
_
t
_
h
t
(
x
,
l
)
,
where h i (x,l) is a classifier that classifies an entity-extracted data x with respect to label l, α t is a preselected constant, and
each classifier h i−1 (x,l) is developed, in part, from classifier h i (x,l).
2. The method of claim 1 where said understanding of presented data is relative to a particular application, and said classifier is developed from a constructed corpus of training entries that is at Mm in the size, where m is size of a provided corpus of training entries, M is a positive integer, and said constructed corpus of training entries is derived from said provided corpus of training sequences.
3. The method of claim 2 where said classifier is developed with a rule established with prior knowledge of said particular application.
4. The method of claim 2 where M is either 3 or 2.