Text-Processing

ÜCRETSİZ PREMIUM
Taraf Jacob | Güncelleyen 25 days ago | Text Analysis
Popülerlik

9.5 / 10

Gecikme

318ms

Hizmet Düzeyi

100%

Health Check

N/A

Tüm Tartışmalara Dön

Wrong s expression result.

Rapid account: Jandark
jandark
8 anni fa

For the following sentence s expression result should be as following:
sentence:
Medical advice ranges from the confusing to the disapproving, while a financial disincentive could even transpire in the form of a long-mooted tax on soft drinks.
result:

(ROOT
(S
(NP (NNP Medical) (NN advice))
(VP (VBZ ranges)
(PP (IN from)
(NP (DT the)
(ADJP (JJ confusing)
(PP (TO to)
(NP (DT the) (NN disapproving))))))
(, ,)
(SBAR (IN while)
(S
(NP (DT a) (JJ financial) (NN disincentive))
(VP (MD could)
(ADVP (RB even))
(VP (VB transpire)
(PP (IN in)
(NP
(NP (DT the) (NN form))
(PP (IN of)
(NP
(NP (DT a) (JJ long-mooted) (NN tax))
(PP (IN on)
(NP (JJ soft) (NNS drinks))))))))))))

Your api response as there is only one node:

{
“text”: “(S\n (GPE Medical/JJ)\n advice/NN\n ranges/NNS\n from/IN\n the/DT\n confusing/NN\n to/TO\n the/DT\n disapproving/NN\n ,/,\n while/IN\n a/DT\n financial/JJ\n disincentive/JJ\n could/MD\n even/RB\n transpire/VB\n in/IN\n the/DT\n form/NN\n of/IN\n a/DT\n long/JJ\n -/:\n mooted/VBN\n tax/NN\n on/IN\n soft/JJ\n drinks/NNS\n ./.)”
}

Rapid account: Jandark
jandark Commented 8 anni fa

Ok, thanks.

Rapid account: Japerk
japerk Commented 8 anni fa

Hi, the tagging API does not do deep parsing. It only does phrase level chunking, and by default, focuses on NE chunks. Unfortunately, while the demo supports choosing the tagger/chunker, and treebank or conll2000 will produce the results you want, I do not have that enabled right now for the tag API.

Aşağıya yorum ekleyerek tartışmaya katılın:

Yeni yorumlar göndermek için giriş yapın / kaydolun