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Data Augmentation for Metonymy Resolution
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friebolin
Data Augmentation for Metonymy Resolution
Commits
3017363c
Commit
3017363c
authored
2 years ago
by
friebolin
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Add backtranslation code
parent
bafe7145
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Code/backtranslate.py
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3017363c
"""
Backtranslation: Translate original sentences using Fairseq (https://github.com/facebookresearch/fairseq/blob/main/examples/translation/README.md)
to create 5 paraphrases
"""
import
numpy
as
np
import
pandas
as
pd
import
json
import
torch
import
tqdm
as
notebook_tqdm
import
os
# Define backtranslation temperature parameter
#temperature = 0.8
temperature
=
1.2
def
load_data_set
(
file_name
):
with
open
(
file_name
,
"
r
"
)
as
file
:
data
=
file
.
read
()
return
json
.
loads
(
data
)
def
load_data_sets
(
data_dir
):
semeval_train_data
=
load_data_set
(
os
.
path
.
join
(
data_dir
,
"
semeval_train.txt
"
))
companies_train_data
=
load_data_set
(
os
.
path
.
join
(
data_dir
,
"
companies_train.txt
"
))
relocar_train_data
=
load_data_set
(
os
.
path
.
join
(
data_dir
,
"
relocar_train.txt
"
))
return
semeval_train_data
,
companies_train_data
,
relocar_train_data
data_dir
=
"
./data
"
semeval_train_data
,
companies_train_data
,
relocar_train_data
=
load_data_sets
(
data_dir
)
#Load Fairseq transformers trained on WMT'19
en2de
=
torch
.
hub
.
load
(
'
pytorch/fairseq
'
,
'
transformer.wmt19.en-de.single_model
'
,
tokenizer
=
'
moses
'
,
bpe
=
'
fastbpe
'
)
de2en
=
torch
.
hub
.
load
(
'
pytorch/fairseq
'
,
'
transformer.wmt19.de-en.single_model
'
,
tokenizer
=
'
moses
'
,
bpe
=
'
fastbpe
'
)
en2de
.
eval
()
# disable dropout
en2de
.
cuda
()
# move model to GPU for faster translation
de2en
.
cuda
()
# Define helper functions
def
extract_target
(
dp
):
start
=
dp
[
"
pos
"
][
0
]
end
=
dp
[
"
pos
"
][
1
]
target
=
dp
[
"
sentence
"
][
start
:
end
]
target
=
"
"
.
join
(
target
).
lower
()
return
target
def
join_tokens
(
dp
):
sent
=
"
"
.
join
(
dp
)
sent
=
sent
.
replace
(
'
,
'
,
'
,
'
)
sent
=
sent
.
replace
(
'
.
'
,
'
.
'
)
sent
=
sent
.
replace
(
'
!
'
,
'
!
'
)
sent
=
sent
.
replace
(
'
?
'
,
'
?
'
)
sent
=
sent
.
replace
(
'
:
'
,
'
:
'
)
sent
=
sent
.
replace
(
'
;
'
,
'
;
'
)
sent
=
sent
.
replace
(
"
'"
,
"'"
)
sent
=
sent
.
replace
(
'
"'
,
'"'
)
sent
=
sent
.
replace
(
'
`
'
,
''
)
return
sent
# Apply backtranslation
datasets
=
[
semeval_train_data
,
companies_train_data
,
relocar_train_data
]
path_names
=
[
f
"
semeval_loc_with_paraphrases_temp
{
temperature
}
"
,
f
"
semeval_org_with_paraphrases_temp
{
temperature
}
"
,
f
"
relocar_with_paraphrases_temp
{
temperature
}
"
]
for
dataset
,
name
in
zip
(
datasets
,
path_names
):
# Preprocess original sentences
data
=
pd
.
DataFrame
.
from_dict
(
dataset
,
orient
=
'
columns
'
)
# Extract targets & add as new column
target_words
=
[
extract_target
(
row
)
for
index
,
row
in
data
.
iterrows
()]
data
[
"
targets
"
]
=
target_words
# Join split original sentence to single sentence
joined_sents
=
[
join_tokens
(
sent
)
for
sent
in
data
[
"
sentence
"
]]
data
[
"
joined_sents
"
]
=
joined_sents
# Paraphrase joined original sentences
def
paraphrase
(
sent
,
temperature
):
en_encode
=
en2de
.
encode
(
sent
)
outputs
=
en2de
.
generate
(
en_encode
,
sampling
=
True
,
topp
=
0.5
,
temperature
=
temperature
)
nucleus
=
[
en2de
.
decode
(
x
[
'
tokens
'
])
for
x
in
outputs
]
multi_paraphrases
=
[]
#backtranslate 4 times
for
sentence
in
nucleus
:
de_1
=
de2en
.
translate
(
sentence
)
de_2
=
en2de
.
translate
(
de_1
)
paraphrase
=
de2en
.
translate
(
de_2
)
multi_paraphrases
.
append
(
paraphrase
)
return
multi_paraphrases
paraphrases
=
[
paraphrase
(
sent
,
temperature
)
for
sent
in
data
[
"
joined_sents
"
]]
data
[
"
paraphrases
"
]
=
paraphrases
data_path
=
os
.
path
.
join
(
data_dir
,
name
)
data
.
to_csv
(
data_path
)
print
(
f
"
Done: paraphrases generated and saved for
{
name
}
.
"
)
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