Stanford CoreNLP v.s. Stanford Parser about corenlp HOT 3 CLOSED

CoreNLP should be able to read the caseless parser model. Is it possible
you are using code and models from different releases?

If you're using the latest code, it's also possible that the models file on
the website is out of date.

Regardless, it would help diagnosing the problem a lot if you said more
about how CoreNLP can't read the model. For example, if it's throwing an
exception, a copy of the exception would help.

There should not be conflicts if you use the same version for the two tools.

On Tue, Dec 23, 2014 at 11:03 PM, lkq1992yeah [email protected]
wrote:

In my project, I use Stanford CoreNLP to perform some basic operations.
Meanwhile I need use a caseless model for parsing, so I chose
"englichPCFG.caseless.ser.gz" in the model of Stanford Parser. However,
CoreNLP cannot read this model, so I added Stanford Parser into my project,
along with CoreNLP.

But here comes the question: there are java files with the same path (same
package and same name) in both Stanford CoreNLP and Stanford Parser, once
there are slight differences between these two java files, things got
complicated, because I don't know which function am I going to call in my
project. Actually after I added Stanford Parser in my project, the original
lemmatize module couldn't work, error was occurred when loading the model.

Is there anyone who tried to add both Stanford Parser and Stanford CoreNLP
in one project, and could you give me some advice to avoid conflicts?
Thanks. :-)

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Emm, maybe the version of Stanford Parser model is a little bit older.
Currently I used stanford-corenlp-3.4 and stanford-parser-2.0.5.

Below is the exception when I only use CoreNLP to load a caseless parsing model:
Loading parser from serialized file edu/stanford/nlp/models/lexparser/englishPCFG.caseless.ser.gz ...
java.lang.RuntimeException: java.lang.ClassNotFoundException: edu.stanford.nlp.util.LowercaseFunction
at edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(LexicalizedParser.java:206)
at edu.stanford.nlp.parser.lexparser.LexicalizedParser.getParserFromSerializedFile(LexicalizedParser.java:630)
at edu.stanford.nlp.parser.lexparser.LexicalizedParser.getParserFromFile(LexicalizedParser.java:424)
at edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(LexicalizedParser.java:183)
at edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(LexicalizedParser.java:162)
at kangqi.baseline.TypeWordExtractor.initSyntParser(TypeWordExtractor.java:44)
at kangqi.baseline.TypeWordExtractor.main(TypeWordExtractor.java:181)
My CoreNLP doesn't contain edu.stanford.nlp.util.LowercaseFunction, while Stanford Parser has.

And below is the exception when I added CoreNLP and Parser together, then try to lemmatize:
Exception in thread "main" java.lang.NoSuchMethodError: edu.stanford.nlp.process.WordToSentenceProcessor.stringToNewlineIsSentenceBreak(Ljava/lang/String;)Ledu/stanford/nlp/process/WordToSentenceProcessor$NewlineIsSentenceBreak;
at edu.stanford.nlp.pipeline.WordsToSentencesAnnotator.(WordsToSentencesAnnotator.java:55)
at edu.stanford.nlp.pipeline.StanfordCoreNLP$3.create(StanfordCoreNLP.java:529)
at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:85)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:267)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:129)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:125)
at kangqi.util.grammar.Lemmatizer.initPipeline(Lemmatizer.java:27)
at kangqi.util.grammar.Lemmatizer.lemmatize(Lemmatizer.java:32)
at kangqi.baseline.TypeWordExtractor.parseQuestion(TypeWordExtractor.java:71)
at kangqi.baseline.TypeWordExtractor.work(TypeWordExtractor.java:134)
at kangqi.baseline.TypeWordExtractor.main(TypeWordExtractor.java:142)

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Using these versions together will definitely not work.

I suggest updating to the latest version of both parser and corenlp and
using the caseless models available on the webpage. If those still don't
work, it is possible the models are out of date. If so, we will post new
ones.

On Wed, Dec 24, 2014 at 1:16 AM, lkq1992yeah [email protected]
wrote:

Emm, maybe the version of Stanford Parser model is a little bit older.
Currently I used stanford-corenlp-3.4 and stanford-parser-2.0.5.

Below is the exception when I only use CoreNLP to load a caseless parsing
model:
Loading parser from serialized file
edu/stanford/nlp/models/lexparser/englishPCFG.caseless.ser.gz ...
java.lang.RuntimeException: java.lang.ClassNotFoundException:
edu.stanford.nlp.util.LowercaseFunction
at
edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(LexicalizedParser.java:206)
at
edu.stanford.nlp.parser.lexparser.LexicalizedParser.getParserFromSerializedFile(LexicalizedParser.java:630)
at
edu.stanford.nlp.parser.lexparser.LexicalizedParser.getParserFromFile(LexicalizedParser.java:424)
at
edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(LexicalizedParser.java:183)
at
edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(LexicalizedParser.java:162)
at
kangqi.baseline.TypeWordExtractor.initSyntParser(TypeWordExtractor.java:44)
at kangqi.baseline.TypeWordExtractor.main(TypeWordExtractor.java:181)
My CoreNLP doesn't contain edu.stanford.nlp.util.LowercaseFunction, while
Stanford Parser has.

And below is the exception when I added CoreNLP and Parser together, then
try to lemmatize:
Exception in thread "main" java.lang.NoSuchMethodError:
edu.stanford.nlp.process.WordToSentenceProcessor.stringToNewlineIsSentenceBreak(Ljava/lang/String;)Ledu/stanford/nlp/process/WordToSentenceProcessor$NewlineIsSentenceBreak;
at
edu.stanford.nlp.pipeline.WordsToSentencesAnnotator.(WordsToSentencesAnnotator.java:55)
at
edu.stanford.nlp.pipeline.StanfordCoreNLP$3.create(StanfordCoreNLP.java:529)
at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:85)
at
edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:267)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:129)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:125)
at kangqi.util.grammar.Lemmatizer.initPipeline(Lemmatizer.java:27)
at kangqi.util.grammar.Lemmatizer.lemmatize(Lemmatizer.java:32)
at
kangqi.baseline.TypeWordExtractor.parseQuestion(TypeWordExtractor.java:71)
at kangqi.baseline.TypeWordExtractor.work(TypeWordExtractor.java:134)
at kangqi.baseline.TypeWordExtractor.main(TypeWordExtractor.java:142)

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#43 (comment).

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