coreNLP- r package annotateString gives Null openie
I am new in using the R coreNLP package. I just installed the package with the objective to use the function getOpenIE. However, even when I run the code on a very simple sentence.The annotateString function doesn't work for annotating openie. See the below code:
library(coreNLP)
downloadCoreNLP()
initCoreNLP()
text <- "food is good and staff is friendly"
t <- annotateString(text)
> t$openie
NULL
> getOpenIE(t)
NULL
Is this a common issue? has anyone found a solution yet? Thank you
r stanford-nlp
add a comment |
I am new in using the R coreNLP package. I just installed the package with the objective to use the function getOpenIE. However, even when I run the code on a very simple sentence.The annotateString function doesn't work for annotating openie. See the below code:
library(coreNLP)
downloadCoreNLP()
initCoreNLP()
text <- "food is good and staff is friendly"
t <- annotateString(text)
> t$openie
NULL
> getOpenIE(t)
NULL
Is this a common issue? has anyone found a solution yet? Thank you
r stanford-nlp
add a comment |
I am new in using the R coreNLP package. I just installed the package with the objective to use the function getOpenIE. However, even when I run the code on a very simple sentence.The annotateString function doesn't work for annotating openie. See the below code:
library(coreNLP)
downloadCoreNLP()
initCoreNLP()
text <- "food is good and staff is friendly"
t <- annotateString(text)
> t$openie
NULL
> getOpenIE(t)
NULL
Is this a common issue? has anyone found a solution yet? Thank you
r stanford-nlp
I am new in using the R coreNLP package. I just installed the package with the objective to use the function getOpenIE. However, even when I run the code on a very simple sentence.The annotateString function doesn't work for annotating openie. See the below code:
library(coreNLP)
downloadCoreNLP()
initCoreNLP()
text <- "food is good and staff is friendly"
t <- annotateString(text)
> t$openie
NULL
> getOpenIE(t)
NULL
Is this a common issue? has anyone found a solution yet? Thank you
r stanford-nlp
r stanford-nlp
asked Aug 9 '18 at 21:33
BPalBPal
62
62
add a comment |
add a comment |
1 Answer
1
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I had trouble with this too. You need to addtype = "english_all"
when using the initCoreNLP
function. See a working reprex below:
library(coreNLP)
#> Warning: package 'coreNLP' was built under R version 3.4.4
downloadCoreNLP()
#> [1] 0
initCoreNLP(type = "english_all")
text <- "food is good and staff is friendly"
t <- annotateString(text)
t$openie
#> subject_start subject_end subject relation_start relation_end relation
#> 1 4 5 staff 5 6 is
#> 2 0 1 food 1 2 is
#> object_start object_end object
#> 1 6 7 friendly
#> 2 2 3 good
getOpenIE(t)
#> subject_start subject_end subject relation_start relation_end relation
#> 1 4 5 staff 5 6 is
#> 2 0 1 food 1 2 is
#> object_start object_end object
#> 1 6 7 friendly
#> 2 2 3 good
Created on 2018-12-29 by the reprex package (v0.2.1)
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1 Answer
1
active
oldest
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I had trouble with this too. You need to addtype = "english_all"
when using the initCoreNLP
function. See a working reprex below:
library(coreNLP)
#> Warning: package 'coreNLP' was built under R version 3.4.4
downloadCoreNLP()
#> [1] 0
initCoreNLP(type = "english_all")
text <- "food is good and staff is friendly"
t <- annotateString(text)
t$openie
#> subject_start subject_end subject relation_start relation_end relation
#> 1 4 5 staff 5 6 is
#> 2 0 1 food 1 2 is
#> object_start object_end object
#> 1 6 7 friendly
#> 2 2 3 good
getOpenIE(t)
#> subject_start subject_end subject relation_start relation_end relation
#> 1 4 5 staff 5 6 is
#> 2 0 1 food 1 2 is
#> object_start object_end object
#> 1 6 7 friendly
#> 2 2 3 good
Created on 2018-12-29 by the reprex package (v0.2.1)
add a comment |
I had trouble with this too. You need to addtype = "english_all"
when using the initCoreNLP
function. See a working reprex below:
library(coreNLP)
#> Warning: package 'coreNLP' was built under R version 3.4.4
downloadCoreNLP()
#> [1] 0
initCoreNLP(type = "english_all")
text <- "food is good and staff is friendly"
t <- annotateString(text)
t$openie
#> subject_start subject_end subject relation_start relation_end relation
#> 1 4 5 staff 5 6 is
#> 2 0 1 food 1 2 is
#> object_start object_end object
#> 1 6 7 friendly
#> 2 2 3 good
getOpenIE(t)
#> subject_start subject_end subject relation_start relation_end relation
#> 1 4 5 staff 5 6 is
#> 2 0 1 food 1 2 is
#> object_start object_end object
#> 1 6 7 friendly
#> 2 2 3 good
Created on 2018-12-29 by the reprex package (v0.2.1)
add a comment |
I had trouble with this too. You need to addtype = "english_all"
when using the initCoreNLP
function. See a working reprex below:
library(coreNLP)
#> Warning: package 'coreNLP' was built under R version 3.4.4
downloadCoreNLP()
#> [1] 0
initCoreNLP(type = "english_all")
text <- "food is good and staff is friendly"
t <- annotateString(text)
t$openie
#> subject_start subject_end subject relation_start relation_end relation
#> 1 4 5 staff 5 6 is
#> 2 0 1 food 1 2 is
#> object_start object_end object
#> 1 6 7 friendly
#> 2 2 3 good
getOpenIE(t)
#> subject_start subject_end subject relation_start relation_end relation
#> 1 4 5 staff 5 6 is
#> 2 0 1 food 1 2 is
#> object_start object_end object
#> 1 6 7 friendly
#> 2 2 3 good
Created on 2018-12-29 by the reprex package (v0.2.1)
I had trouble with this too. You need to addtype = "english_all"
when using the initCoreNLP
function. See a working reprex below:
library(coreNLP)
#> Warning: package 'coreNLP' was built under R version 3.4.4
downloadCoreNLP()
#> [1] 0
initCoreNLP(type = "english_all")
text <- "food is good and staff is friendly"
t <- annotateString(text)
t$openie
#> subject_start subject_end subject relation_start relation_end relation
#> 1 4 5 staff 5 6 is
#> 2 0 1 food 1 2 is
#> object_start object_end object
#> 1 6 7 friendly
#> 2 2 3 good
getOpenIE(t)
#> subject_start subject_end subject relation_start relation_end relation
#> 1 4 5 staff 5 6 is
#> 2 0 1 food 1 2 is
#> object_start object_end object
#> 1 6 7 friendly
#> 2 2 3 good
Created on 2018-12-29 by the reprex package (v0.2.1)
answered Dec 29 '18 at 10:28
IanIan
36114
36114
add a comment |
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