How can I use stanford-openIE for Chinese text -


i working on on stanford-openie not know whether supports chinese text or not. if supports chinese language, how can use stanford-openie chinese text?

any guidance appreciated.

stanford's openie system developed english. it's based off of universal dependencies, meaning in theory shouldn't hard adapt other languages; but, nonetheless, it's highly unlikely work out of box.

at minimum, relation triple segmenter have adapted chinese. of more subtle functionality, code mark natural logic polarity , code score prepositional phrase deletions have rewritten.


-

Comments

Post a Comment

Popular posts from this blog

java - UnknownEntityTypeException: Unable to locate persister (Hibernate 5.0) -

Image
in code below when try execute main.java getting exception: exception in thread "main" org.hibernate.unknownentitytypeexception: unable locate persister: com.np.vta.test.pojo.users @ org.hibernate.internal.sessionfactoryimpl.locateentitypersister(sessionfactoryimpl.java:792) @ org.hibernate.internal.sessionimpl.locateentitypersister(sessionimpl.java:2637) @ org.hibernate.internal.sessionimpl.access$2500(sessionimpl.java:164) @ org.hibernate.internal.sessionimpl$identifierloadaccessimpl.<init>(sessionimpl.java:2575) @ org.hibernate.internal.sessionimpl$identifierloadaccessimpl.<init>(sessionimpl.java:2562) @ org.hibernate.internal.sessionimpl.byid(sessionimpl.java:1044) @ org.hibernate.internal.sessionimpl.get(sessionimpl.java:955) @ com.app.test.main.main(main.java:20) but if uncomment cfg.addclass( users.class ).addresource( "com/np/vta/test/pojo/users.hbm.xml" ); code works fine. why not reading <mapping...
Read more

python - ValueError: empty vocabulary; perhaps the documents only contain stop words -

i'm using (for first time) scikit library , got error: valueerror: empty vocabulary; perhaps documents contain stop words file "c:\users\a605563\desktop\velibprojetpreso\traitementtwitterdico.py", line 33, in <module> x_train_counts = count_vect.fit_transform(filetweets) file "c:\python27\lib\site-packages\sklearn\feature_extraction\text.py", line 804, in fit_transform self.fixed_vocabulary_) file "c:\python27\lib\site-packages\sklearn\feature_extraction\text.py", line 751, in _count_vocab raise valueerror("empty vocabulary; perhaps documents contain stop words but don't understand why that's happening. import sklearn sklearn.feature_extraction.text import countvectorizer import pandas pd import numpy import unicodedata import nltk tweetsfile = open('tweets2015-08-13.csv', 'r+') f2 = open('analyzer.txt', 'a') print tweetsfile.readline() count_vect = countvectorizer(strip_accents='ascii...
Read more

ubuntu - collect2: fatal error: ld terminated with signal 9 [Killed] -

Image
i'm trying build precimonious on ubuntu 16.04.3 x64. allocated 1gb memory it. file structure looks like ~ |--- llvm/ |--- precimonious/ where llvm on version 3.0 mentioned @ https://github.com/corvette-berkeley/precimonious#requirement . followed steps on readme command make ended with ... llvm[1]: linking debug shared library libllvm-3.0.so collect2: fatal error: ld terminated signal 9 [killed] compilation terminated. ... i went through answers online , might because there's not enough memory perform link. memory usage the gcc version on machine gcc version 5.4.0 20160609 (ubuntu 5.4.0-6ubuntu1~16.04.4) , installed via apt-get install build-essential . fresh droplet created on digitalocean btw. appreciated. it memory exhaustion. sampling interval memory measurement not small enough covers exact point oom killer kicks in. depending on container/vm technology, may able set vm.overcommit_memory=2 before build, process not killed (but doing requires m...
Read more