Open berzentine opened 6 years ago
This error can arise from using Java 9.x rather than 8.x with Stanford CoreNLP. Per the developers (https://stanfordnlp.github.io/CoreNLP/download.html), adding --add-modules java.se.ee
to the startup command fixes things. In the camr codebase, the command is specified in stanfordnlp/corenlp.py line 443 (where it looks like you've already upped the memory option to 2500m). So:
start_depparser = "%s -Xmx1800m -cp %s %s %s %s %s"
can be changed to:
start_depparser = "%s -Xmx1800m -cp %s --add-modules java.se.ee %s %s %s %s"
I have encountered the same problem as you, how do you solve it?
I have switched from open-jdk 11 to oracle-jdk 8 on ubuntu 18 and it works.
I've found that open-jdk 8 works, too. No need for the Oracle distribution. Just make sure you've purged your system of any newer JDK libraries if they were previously installed.
I tried it. I can achieve English AMR analysis,I can not achieve Chinese AMR analysis
------------------ 原始邮件 ------------------ 发件人: "Michael Wayne Goodman"notifications@github.com; 发送时间: 2019年5月23日(星期四) 下午4:43 收件人: "c-amr/camr"camr@noreply.github.com; 抄送: "zoey99"993464525@qq.com;"Comment"comment@noreply.github.com; 主题: Re: [c-amr/camr] Pre-processing issue (#16)
I've found that open-jdk 8 works, too. No need for the Oracle distribution. Just make sure you've purged your system of any newer JDK libraries if they were previously installed.
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Start Stanford CoreNLP... java -Xmx2500m -cp stanfordnlp/stanford-corenlp-full-2015-04-20/stanford-corenlp-3.5.2.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/stanford-corenlp-3.5.2-models.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/joda-time.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/xom.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/jollyday.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/protobuf.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/javax.json.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/ejml-0.23.jar edu.stanford.nlp.pipeline.StanfordCoreNLP -props stanfordnlp/default.properties Traceback (most recent call last):
main()
File "amr_parsing.py", line 169, in main
instances = preprocess(amr_file,START_SNLP=True,INPUT_AMR=args.amrfmt, PRP_FORMAT=args.prpfmt)
File "/usr2/home/nkvyas/TriggerModelling/AMRParsing/preprocessing.py", line 436, in preprocess
proc1.setup()
File "/usr2/home/nkvyas/TriggerModelling/AMRParsing/stanfordnlp/corenlp.py", line 358, in setup
self.corenlp.expect("done.", timeout=20) # Load pos tagger model (~5sec)
File "/usr2/home/nkvyas/TriggerModelling/AMRParsing/stanfordnlp/pexpect/init.py", line 1451, in expect
timeout, searchwindowsize)
File "/usr2/home/nkvyas/TriggerModelling/AMRParsing/stanfordnlp/pexpect/init.py", line 1466, in expect_list
timeout, searchwindowsize)
File "/usr2/home/nkvyas/TriggerModelling/AMRParsing/stanfordnlp/pexpect/init.py", line 1554, in expect_loop
raise EOF(str(err) + '\n' + str(self))
stanfordnlp.pexpect.EOF: End Of File (EOF). Exception style platform.
<stanfordnlp.pexpect.spawn object at 0x7f308fa601d0>
version: 3.3
command: /usr/bin/java
args: ['/usr/bin/java', '-Xmx2500m', '-cp', 'stanfordnlp/stanford-corenlp-full-2015-04-20/stanford-corenlp-3.5.2.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/stanford-corenlp-3.5.2-models.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/joda-time.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/xom.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/jollyday.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/protobuf.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/javax.json.jar:stanfordnlp/stanford-corenlp-full-2015-04-20/ejml-0.23.jar', 'edu.stanford.nlp.pipeline.StanfordCoreNLP', '-props', 'stanfordnlp/default.properties']
searcher: <stanfordnlp.pexpect.searcher_re object at 0x7f308fa60290>
buffer (last 100 chars): ''
before (last 100 chars): 's(ClassLoader.java:358)\r\n\tat sun.launcher.LauncherHelper.checkAndLoadMain(LauncherHelper.java:482)\r\n'
after: <class 'stanfordnlp.pexpect.EOF'>
match: None
match_index: None
exitstatus: None
flag_eof: True
pid: 24394
child_fd: 3
closed: False
timeout: 30
delimiter: <class 'stanfordnlp.pexpect.EOF'>
logfile: None
logfile_read: None
logfile_send: None
maxread: 2000
ignorecase: False
searchwindowsize: None
delaybeforesend: 0.05
delayafterclose: 0.1
delayafterterminate: 0.1
File "amr_parsing.py", line 436, in