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CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

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Hello, in OSXAdapter, line 16 below: 13 public class OSXAdapter extends ApplicationAdapter { 14 15 private static OSXAdapter adapter; 16 private static com.apple.eawt.Application app; the compiler says com.apple.eawt.Application can not...

update-needed

Hello, I am running the Stanford CoreNLP server 4.5.5 with a custom properties file to specify certain annotators. However, I've noticed that the HTML interface accessed via localhost does not...

this issue: https://github.com/UniversalDependencies/docs/issues/717

Hi there. My apologies for my background isn't in NLP so my question may not make much sense here. I'm trying to get the constituency score from a constituency parse...

for ner type - DATE, normalizedNER is not coming in appropriate format. Data is coming in below format (without any dashes in normalized text) { "nerType": "DATE", "normalizedText": "20220701", "text":...

Hello! I am running into a word-sense disambiguation issue where CoreNLP seems to be systematically struggling with adverbs that share a surface form with different words. For example, "number" (as...

Hi, I've read the fine-graining documents at https://stanfordnlp.github.io/CoreNLP/ner.html#customizing-the-fine-grained-ner . I wondered if I can add fine-grained NER on my android projects. Is there any way or method that I can...

I have read this question [https://github.com/stanfordnlp/CoreNLP/issues/384](url) but it doesn't give a definitive answer. I can run the server on a windows machine with the command line `java -mx4g -cp "*"...

``` curl 'http://localhost:9000/?properties={%22annotators%22%3A%22lemma%22%2C%22outputFormat%22%3A%22json%22}' -d '`' ``` Gives me: ``` { "sentences": [ { "index": 0, "tokens": [ { "index": 1, "word": "`", "originalText": "`", "lemma": "`", "characterOffsetBegin": 0, "characterOffsetEnd": 1,...

Running 4.5.2 and the default English model 4.5.2. Every so often I get the following stack-blowing recursion: at edu.stanford.nlp.parser.lexparser.TreeBinarizer.outsideBinarizeLocalTree(TreeBinarizer.java:479) at edu.stanford.nlp.parser.lexparser.TreeBinarizer.outsideBinarizeLocalTree(TreeBinarizer.java:479) at edu.stanford.nlp.parser.lexparser.TreeBinarizer.outsideBinarizeLocalTree(TreeBinarizer.java:479) at edu.stanford.nlp.parser.lexparser.TreeBinarizer.outsideBinarizeLocalTree(TreeBinarizer.java:479) at edu.stanford.nlp.parser.lexparser.TreeBinarizer.outsideBinarizeLocalTree(TreeBinarizer.java:479) ...... On either...