Text-Processing

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(Ким) Jacob | Оновлено לפני 25 ימים | Text Analysis
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Wrong s expression result.

Rapid account: Jandark
jandark
לפני 8 שנים

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 לפני 8 שנים

Ok, thanks.

Rapid account: Japerk
japerk Commented לפני 8 שנים

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.

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