stanfordnlp/CoreNLP · error · RuntimeException
Error getting field value for
Error message
Error getting field value for {fieldName} What it means
The debug helper fieldValues uses reflection (field.get(o)) to dump all declared fields of an object; any reflective access failure (IllegalAccessException, IllegalArgumentException, etc.) is wrapped in a RuntimeException with this message naming the field.
Solutions
- Run with --add-opens flags for the failing package, or downgrade expectations and use toString() instead of reflection
- Remove SecurityManager / module access restrictions for the code doing reflection
- Only call fieldValues on CoreNLP's own model/config classes, not JDK or third-party objects
Example fix
// before java --module-path corenlp.jar ... // JDK 17, setAccessible fails // after java --add-opens edu.stanford.nlp.coref.statistical=ALL-UNNAMED --module-path corenlp.jar ...
Defensive patterns
Strategy: validation
Validate before calling
if (System.getSecurityManager() != null)
throw new IllegalStateException("fieldValues reflection requires no SecurityManager"); Try / catch
try {
String dump = fieldValues(o);
} catch (RuntimeException e) {
logger.warning("reflective dump failed: " + e.getMessage());
String dump = o.toString();
} Prevention
- On JDK 9+, add --add-opens for packages whose private fields must be read
- Only call fieldValues on CoreNLP's own classes
- Avoid SecurityManager in training environments
When it happens
Trigger: Calling fieldValues(o) when a declared field of o's class cannot be accessed reflectively — e.g. security manager/JPMS denies setAccessible, or the field belongs to a different class instance for primitives/primitive wrappers edge cases.
Common situations: Running CoreNLP training/debug on JDK 9+ with strong encapsulation where setAccessible on JDK-internal or private fields fails; custom classloaders; SecurityManager restrictions.
Understand the failure class
Background: "You do not have permission" / 403 Forbidden errors: authenticated but not allowed — causes and fixes across open-source libraries — this error's family across 31 libraries.
Related errors
- Cannot get field from
- Loading: failed with
- Couldn't create POS tagger extractor class
- Couldn't create POS tagger extractor class
- Could not load tokenizer factory
AI-assisted analysis of stanfordnlp/CoreNLP@1b7edd19c4 (2026-09-10).
Data as JSON: /api/errors/f3e2cd7a2494822d.
Report an issue: GitHub.
Appendix: source
Thrown at src/edu/stanford/nlp/coref/statistical/StatisticalCorefTrainer.java:72
makeDir(extractedFeaturesPath);
datasetFile = dataPath + "dataset.ser";
predictionsName = name + "_predictions";
goldClustersFile = dataPath + "gold_clusters.ser";
mentionTypesFile = dataPath + "mention_types.ser";
compressorFile = extractedFeaturesPath + "compressor.ser";
extractedFeaturesFile = extractedFeaturesPath + "compressed_features.ser";
}
public static String fieldValues(Object o) {
String s = "";
Field[] fields = o.getClass().getDeclaredFields();
for (Field field : fields) {
try {
field.setAccessible(true);
s += field.getName() + " = " + field.get(o) + "\n";
} catch (Exception e) {
throw new RuntimeException("Error getting field value for " + field.getName(), e);
}
}
return s;
}
private static void preprocess(Properties props, Dictionaries dictionaries, boolean isTrainSet)
throws Exception {
(isTrainSet ? new DatasetBuilder(StatisticalCorefProperties.minClassImbalance(props),
StatisticalCorefProperties.maxTrainExamplesPerDocument(props)) :
new DatasetBuilder()).runFromScratch(props, dictionaries);
new MetadataWriter(isTrainSet).runFromScratch(props, dictionaries);
new FeatureExtractorRunner(props, dictionaries).runFromScratch(props, dictionaries);
}
public static void doTraining(Properties props) throws Exception {
setTrainingPath(props);
Dictionaries dictionaries = new Dictionaries(props);
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