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View Code? Open in Web Editor NEWIntegrating Local Context and Global Cohesiveness for Open Information Extraction(WSDM'19)
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Cannot reproduce the results of the paper
the output of kdd branch still has the same issue that addressed in #25
raw data raw_train.json is missed in code and cannot run the re-train process
output files:
results_remine/remine_result.txt
1 man | have , | medical
1 man | have , | neglect
1 man | have , | month
1 health | | Home
1 health | | operation
1 risk of Minnesota | | state
2 people | have , | Conakry
2 people | have , | capital
2 people | have , | Hospital
3 Democrat | | Nebraska
4 something | | for
4 New | by , , , | something
results_remine/remine_segmentation.txt
Gov. :RP]_[Tim :EP]_[Pawlenty of :BP]_[Minnesota :BP]_[order :EP]_[the :RP]_[state :EP]_[health :EP]_[department :EP]_[this :EP]_[month :EP]_[to :EP]_[monitor]_[day-to-day :BP]_[operation :EP]_[at :EP]_[the :RP]_[Minneapolis :BP]_[Veterans :EP]_[Home :EP]_[after :EP]_[state :EP]_[inspector]_[find :RP]_[that :RP]_[three :EP]_[man :EP]_[have :RP]_[die :EP]_[there :EP]_[in :EP]_[the :RP]_[previous :EP]_[month :EP]_[because :BP]_[of :EP]_[neglect :BP]_[or :EP]_[medical :BP]_[error :RP]_[. :RP]_[
the :RP]_[aid :RP]_[group]_[doctor :EP]_[without :EP]_[border :EP]_[say :BP]_[that :RP]_[since :RP]_[Saturday :BP]_[, :RP]_[more :RP]_[than :EP]_[275 :EP]_[wounded :BP]_[people :EP]_[have :RP]_[be]_[admit :BP]_[and :EP]_[treat :EP]_[at :EP]_[Donka]_[Hospital :EP]_[in :EP]_[the :RP]_[capital :EP]_[of :EP]_[Guinea :BP]_[, :RP]_[Conakry :BP]_[. :RP]_[
the :RP]_[american :BP]_[people :EP]_[can :EP]_[see :EP]_[what :EP]_[be]_[happen :BP]_[here :RP]_[, :RP]_[say :BP]_[Senator :BP]_[Ben :BP]_[Nelson]_[, :RP]_[Democrat :BP]_[of :EP]_[Nebraska :BP]_[. :RP]_[
for :BP]_[million :RP]_[, :RP]_[it :EP]_[be]_[a :EP]_[tough :BP]_[day :EP]_[of :EP]_[coping :BP]_[-- :BP]_[of :EP]_[watch :EP]_[floodwater :BP]_[pour]_[into :BP]_[home :EP]_[on :EP]_[the :RP]_[Raritan :BP]_[River :BP]_[in :EP]_[New :EP]_[Jersey :BP]_[from :RP]_[New :EP]_[Brunswick]_[to :EP]_[bind :EP]_[Brook :BP]_[and :EP]_[in :EP]_[the :RP]_[Westchester]_[suburb]_[of :EP]_[Mamaroneck :EP]_[and :EP]_[New :EP]_[Rochelle]_[, :RP]_[of :EP]_[sleep :EP]_[in :EP]_[a :EP]_[shelter :BP]_[or :EP]_[a :EP]_[airport :EP]_[, :RP]_[of :EP]_[tow :BP]_[a :EP]_[car :BP]_[and :EP]_[watch :EP]_[a :EP]_[refrigerator]_[float]_[by :RP]_[, :RP]_[of :EP]_[get :EP]_[to :EP]_[work]_[despite :EP]_[flood :BP]_[road :BP]_[and :EP]_[erratic :BP]_[train :BP]_[, :RP]_[of :EP]_[wait :BP]_[for :BP]_[power :BP]_[or :EP]_[a :EP]_[water :RP]_[pump :EP]_[or :EP]_[just :BP]_[something :BP]_[to :EP]_[hope :BP]_[for :BP]_[. :RP]_[
tmp_remine/remine_tokenized_segmented_sentences.txt
1 5663| 141 , | 983
1 5663| 141 , | 44243
1 5663| 141 , | 2668
1 1931| | 18561
1 1931| | 5053
1 2 3 72917| | 1519
2 3245| 141 , | 127954
2 3245| 141 , | 7358
2 3245| 141 , | 3303
3 60075| | 51787
4 18944| | 70
4 1269| 319 , 24 , | 18944
4 1269| | 21073
4 1269| | 89926
Add dependency sub parsing tree dictionary insert/query
Jingbo, please add this function into src/data/documents.h, thanks!
compile error
g++ -std=c++11 -Wall -O3 -msse2 -fopenmp -I.. -pthread -lm -Wno-unused-result -Wno-sign-compare -Wno-unused-variable -Wno-parentheses -Wno-format -o bin/remine_train src/main.cpp
In file included from src/utils/parameters.h:4:0,
from src/main.cpp:1:
src/utils/../utils/utils.h:29:0: warning: ignoring #pragma omp declare [-Wunknown-pragmas]
#pragma omp declare reduction(vec_double_plus : std::vector<double> : \
^
In file included from src/classification/../classification/predict_quality.h:7:0,
from src/classification/label_generation.h:8,
from src/classification/feature_extraction.h:6,
from src/main.cpp:6:
src/classification/../classification/random_forest.h: In member function ‘std::pair<int, double> RandomForestRelated::RandomForest::estimate(std::vector<double>&)’:
src/classification/../classification/random_forest.h:365:46: error: expected ‘+’, ‘*’, ‘-’, ‘&’, ‘^’, ‘|’, ‘&&’, ‘||’, ‘min’ or ‘max’ before ‘vec_double_plus’
# pragma omp parallel for reduction (vec_double_plus : sum)
^
make: *** [bin/remine_train] Error 1
My g++ version is 4.8. Maybe the OpenMP version is too low in my computer, would you please show me the right version. Thanks.
No such file or directory
mldl@mldlUB1604:~/ub16_prj/gh-shanzhenren/ReMine$ bash train.sh
===Entity Linking===
Traceback (most recent call last):
File "src_py/distantSupervision.py", line 28, in
utils.getEntity(args.in1, args.out, args.opt)
File "/home/mldl/ub16_prj/gh-shanzhenren/ReMine/src_py/utils.py", line 29, in getEntity
with open(file_path) as IN, open(output, 'w') as OUT:
FileNotFoundError: [Errno 2] No such file or directory: 'data/nyt/train_nyt.json'
((VB|VBD|VBG|VBN|VBN|VBP|VBZ) )+((NN.{0,2}|JJ.{0,1}|RB.{0,1}|PRP.{0,1}|DT ))+((IN|RP) +)|((VB|VBD|VBG|VBN|VBN|VBP|VBZ) )+((IN|RP) +)|((VB|VBD|VBG|VBN|VBN|VBP|VBZ) )+|(NN.{0,2})+((IN|RP) +)
Traceback (most recent call last):
File "src_py/distantSupervision.py", line 24, in
utils.relationLinker(args.in1, args.in2)
File "/home/mldl/ub16_prj/gh-shanzhenren/ReMine/src_py/utils.py", line 72, in relationLinker
with open(file_path,'r') as IN:
FileNotFoundError: [Errno 2] No such file or directory: 'data/nyt/train_nyt.json'
===Tokenizaztion===
Traceback (most recent call last):
File "src_py/preprocessing.py", line 396, in
tmp.tokenized_train(args.in1, args.in2, args.in3)
File "src_py/preprocessing.py", line 125, in tokenized_train
with open(docIn, encoding='utf-8') as doc, open(posIn, encoding='utf-8') as pos, open(depIn, encoding='utf-8') as dep:
FileNotFoundError: [Errno 2] No such file or directory: 'data/nyt/total.lemmas.txt'
Traceback (most recent call last):
File "src_py/preprocessing.py", line 404, in
tmp.chunk_train(args.in1, args.in2)
File "src_py/preprocessing.py", line 51, in chunk_train
with open(docIn, encoding='utf-8') as doc, open(posIn, encoding='utf-8') as pos, open('tmp_remine/boost_patterns.txt', 'w', encoding='utf-8') as out:
FileNotFoundError: [Errno 2] No such file or directory: 'data/nyt/total.lemmas.txt'
Traceback (most recent call last):
File "src_py/preprocessing.py", line 407, in
tmp.tokenize(args.in1, args.out)
File "src_py/preprocessing.py", line 222, in tokenize
with open(docIn, encoding='utf-8') as doc, open(docOut,'w', encoding='utf-8') as out:
FileNotFoundError: [Errno 2] No such file or directory: 'data/stopwords.txt'
Traceback (most recent call last):
File "src_py/preprocessing.py", line 407, in
tmp.tokenize(args.in1, args.out)
File "src_py/preprocessing.py", line 222, in tokenize
with open(docIn, encoding='utf-8') as doc, open(docOut,'w', encoding='utf-8') as out:
FileNotFoundError: [Errno 2] No such file or directory: 'tmp/nyt.entities'
Traceback (most recent call last):
File "src_py/preprocessing.py", line 407, in
tmp.tokenize(args.in1, args.out)
File "src_py/preprocessing.py", line 222, in tokenize
with open(docIn, encoding='utf-8') as doc, open(docOut,'w', encoding='utf-8') as out:
FileNotFoundError: [Errno 2] No such file or directory: 'tmp/nyt.relations'
Multi-class random forest classification
Hi Jingbo,
Can you take a look at random forest classifiers? I tried DP Learn but it doesn't work as I expected. Is it possible to output a class label {entity,relation,background} and a probability between [0,1] as well? @shangjingbo1226
Multilingual
Great job！ Does this tool support Chinese？
Is the output of default model very poor?
1 man | have , | medical
1 man | have , | neglect
1 risk of Minnesota | | state
1 man | have , | month
1 health | | operation
1 health | | Home
2 people | have , | Conakry
2 people | have , | capital
2 people | have , | Hospital
3 Democrat | | Nebraska
4 New | by , , , | something
4 New | | shelter
4 day | | coping
4 New | | airport
4 day | | floodwater
4 New | | car
4 day | | home
4 something | | for
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