<s>
Structured	O
k-Nearest	B-General_Concept
Neighbours	I-General_Concept
is	O
a	O
machine	O
learning	O
algorithm	O
that	O
generalizes	O
the	O
k-Nearest	B-General_Concept
Neighbors	I-General_Concept
(	O
kNN	O
)	O
classifier	O
.	O
</s>
<s>
Whereas	O
the	O
kNN	O
classifier	O
supports	O
binary	B-General_Concept
classification	I-General_Concept
,	O
multiclass	B-General_Concept
classification	I-General_Concept
and	O
regression	O
,	O
the	O
Structured	B-Algorithm
kNN	I-Algorithm
(	O
SkNN	O
)	O
allows	O
training	O
of	O
a	O
classifier	O
for	O
general	O
structured	B-General_Concept
output	I-General_Concept
labels	I-General_Concept
.	O
</s>
<s>
After	O
training	O
,	O
the	O
structured	B-Algorithm
kNN	I-Algorithm
model	O
allows	O
one	O
to	O
predict	O
for	O
new	O
sample	O
instances	O
the	O
corresponding	O
output	O
label	O
;	O
that	O
is	O
,	O
given	O
a	O
natural	O
language	O
sentence	O
,	O
the	O
classifier	O
can	O
produce	O
the	O
most	O
likely	O
parse	O
tree	O
.	O
</s>
<s>
Searching	O
of	O
optimal	O
path	O
may	O
be	O
performed	O
using	O
modified	O
Viterbi	B-Algorithm
algorithm	I-Algorithm
.	O
</s>
