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私はNLTKする新しいし、次のコードから個人、組織、GPEを抽出しようとしている：私は多くのリンクが、のdidnを経てbinary = Falseのとき、ツリー構造からPER、ORG、GPEなどの名前付きエンティティを抽出するにはどうすればよいですか？
(S
Our/PRP$
direct/JJ
competitors/NNS
include/VBP
,/,
among/IN
others/NNS
,/,
(PERSON Accenture/NNP)
,/,
(GPE Capgemini/NNP)
,/,
(ORGANIZATION Computer/NNP Sciences/NNPS Corporation/NNP)
,/,
(GPE Genpact/NNP)
,/,
(ORGANIZATION HCL/NNP Technologies/NNPS)
,/,
(ORGANIZATION HP/NNP Enterprise/NNP)
,/,
(ORGANIZATION IBM/NNP Global/NNP Services/NNPS)
,/,
(ORGANIZATION Infosys/NNP Technologies/NNPS)
,/,
(PERSON Tata/NNP Consultancy/NNP Services/NNPS)
and/CC
(PERSON Wipro/NNP)
./.)
(S
These/DT
markets/NNS
also/RB
include/VBP
numerous/JJ
smaller/JJR
local/JJ
competitors/NNS
in/IN
the/DT
various/JJ
geographic/JJ
markets/NNS
in/IN
which/WDT
we/PRP
operate/VBP
which/WDT
may/MD
be/VB
able/JJ
to/TO
provide/VB
services/NNS
and/CC
solutions/NNS
at/IN
lower/JJR
costs/NNS
or/CC
on/IN
terms/NNS
more/RBR
attractive/JJ
to/TO
clients/NNS
than/IN
we/PRP
can/MD
./.)
(S
Our/PRP$
direct/JJ
competitors/NNS
include/VBP
,/,
among/IN
others/NNS
,/,
(PERSON Accenture/NNP)
,/,
(GPE Capgemini/NNP)
,/,
(ORGANIZATION Computer/NNP Sciences/NNPS Corporation/NNP)
,/,
(GPE Genpact/NNP)
,/,
(ORGANIZATION HCL/NNP Technologies/NNPS)
,/,
(ORGANIZATION HP/NNP Enterprise/NNP)
,/,
(ORGANIZATION IBM/NNP Global/NNP Services/NNPS)
,/,
(ORGANIZATION Infosys/NNP Technologies/NNPS)
,/,
(PERSON Tata/NNP Consultancy/NNP Services/NNPS)
and/CC
(PERSON Wipro/NNP)
./.)
(S
The/DT
rates/NNS
we/PRP
are/VBP
able/JJ
to/TO
recover/VB
for/IN
our/PRP$
services/NNS
are/VBP
affected/VBN
by/IN
a/DT
number/NN
of/IN
factors/NNS
,/,
including/VBG
:/:
•/VB
our/PRP$
clients’/JJ
perceptions/NNS
of/IN
our/PRP$
ability/NN
to/TO
add/VB
value/NN
through/IN
our/PRP$
services/NNS
;/:
•/NNP
introduction/NN
of/IN
new/JJ
services/NNS
or/CC
products/NNS
by/IN
us/PRP
or/CC
our/PRP$
competitors/NNS
;/:
•/VB
our/PRP$
competitors’/NN
pricing/NN
policies/NNS
;/:
•/VB
our/PRP$
ability/NN
to/TO
accurately/RB
estimate/VB
,/,
attain/NN
and/CC
sustain/NN
contract/NN
revenues/NNS
,/,
margins/NNS
and/CC
cash/NN
flows/NNS
over/IN
increasingly/RB
longer/JJR
contract/NN
periods/NNS
;/:
•/NNP
bid/NN
practices/NNS
of/IN
clients/NNS
and/CC
their/PRP$
use/NN
of/IN
third-party/JJ
advisors/NNS
;/:
•/VB
the/DT
use/NN
by/IN
our/PRP$
competitors/NNS
and/CC
our/PRP$
clients/NNS
of/IN
offshore/JJ
resources/NNS
to/TO
provide/VB
lower-cost/JJ
service/NN
delivery/NN
capabilities/NNS
;/:
•/VB
our/PRP$
ability/NN
to/TO
charge/VB
premium/NN
prices/NNS
when/WRB
justified/VBN
by/IN
market/NN
demand/NN
or/CC
the/DT
type/NN
of/IN
service/NN
;/:
and/CC
•/VB
general/JJ
economic/JJ
and/CC
political/JJ
conditions/NNS
./.)
(S
For/IN
our/PRP$
internal/JJ
management/NN
reporting/NN
and/CC
budgeting/NN
purposes/NNS
,/,
we/PRP
use/VBP
non-GAAP/JJ
financial/JJ
information/NN
that/WDT
does/VBZ
not/RB
include/VB
stock-based/JJ
compensation/NN
expense/NN
,/,
acquisition-related/JJ
charges/NNS
and/CC
net/JJ
non-operating/JJ
foreign/JJ
currency/NN
exchange/NN
gains/NNS
or/CC
losses/NNS
for/IN
financial/JJ
and/CC
operational/JJ
decision/NN
making/NN
,/,
to/TO
evaluate/VB
period-to-period/JJ
comparisons/NNS
and/CC
for/IN
making/VBG
comparisons/NNS
of/IN
our/PRP$
operating/NN
results/NNS
to/TO
those/DT
of/IN
our/PRP$
competitors/NNS
./.)
：私が得た出力がある
for i in tokcomp:
words = nltk.word_tokenize(i)
tagged = nltk.pos_tag(words)
namedEnt = nltk.ne_chunk(tagged, binary=False)
print(namedEnt)
私の目的に合った方法を見つけて、人物、組織、およびGPEとしてタグ付けされた会社を抽出します。
nltkウェブサイト以外の名前付きエンティティを抽出する方法についてのリンクがあれば、非常に感謝します。
可能な複製http://stackoverflow.com/q/31836058/610569 – alvas