stanfordnlp/CoreNLP · error · RuntimeException

Could not find either " + binaryName + " or " + textName

Error message

Could not find either " + binaryName + " or " + textName

What it means

ConvertMatlabModel.loadMatrix looks for a matrix file in binary (binaryName) or text (textName) form under the base path; if neither file exists it throws RuntimeException. It is a hard failure because the model cannot be converted without the source matrix data.

Solutions

1. Place the matrix files (binary or text) under the expected basePath with the expected names
2. Edit the basePath/naming in ConvertMatlabModel (or its caller) to point at where your files actually are
3. Check file existence and permissions before running, e.g. ls the directory

Example fix

// before
String basePath = "/user/socherr/scr/projects/semComp/RNTN/src/params/";
// after
String basePath = "/data/rntn/params/"; // actual location of W.txt, U.txt etc.

for (String name : new String[]{"W", "Wcat", "U", "combinedWV"}) {
  File bin = new File(basePath, name + binaryExt);
  File txt = new File(basePath, name + ".txt");
  if (!bin.exists() && !txt.exists()) throw new FileNotFoundException(name + " missing in " + basePath);
}

static boolean matrixAvailable(String base, String name) {
  return new File(base, name + ".bin").exists() || new File(base, name + ".txt").exists();
}

try {
  ConvertMatlabModel.main(args);
} catch (RuntimeException e) {
  log.error("Model matrix files missing: " + e.getMessage());
}

When it happens

Trigger: Calling loadMatrix (directly or via main/W/Wcat/combinedWV conversion) with a basePath or matrix name where neither <name>.bin-style binary file nor the text file exists.

Common situations: Hard-coded basePath (/user/socherr/scr/...) pointing to a path that does not exist on your machine; wrong matrix name; data files not copied along with the code.

Understand the failure class

Background: "File not found" and ENOENT errors: why libraries can't find a file that should exist — this error's family across 50 libraries.

Related errors

• No model specified for Sentiment annotator
• Can only create a model using this method if…
• Cannot create random word vectors for an unknown numHid
• Error reading threshold file
• Found line with label " + line + " but no tokens to…

AI-assisted analysis of stanfordnlp/CoreNLP@1b7edd19c4 (2026-09-10). Data as JSON: /api/errors/360c91f2b01b33db. Report an issue: GitHub.

Appendix: source

Thrown at src/edu/stanford/nlp/sentiment/ConvertMatlabModel.java:66

    if (!wordVectors.containsKey(source)) {
      return;
    }

    wordVectors.put(target, new SimpleMatrix(wordVectors.get(source)));
  }

  public static SimpleMatrix loadMatrix(String binaryName, String textName) throws IOException {
    File matrixFile = new File(binaryName);
    if (matrixFile.exists()) {
      return SimpleMatrix.loadBinary(matrixFile.getPath());
    }

    matrixFile = new File(textName);
    if (matrixFile.exists()) {
      return NeuralUtils.loadTextMatrix(matrixFile);
    }

    throw new RuntimeException("Could not find either " + binaryName + " or " + textName);
  }

  public static void main(String[] args) throws IOException {
    String basePath = "/user/socherr/scr/projects/semComp/RNTN/src/params/";
    int numSlices = 25;

    boolean useEscapedParens = false;

    for (int argIndex = 0; argIndex < args.length; ) {
      if (args[argIndex].equalsIgnoreCase("-slices")) {
        numSlices = Integer.parseInt(args[argIndex + 1]);
        argIndex += 2;
      } else if (args[argIndex].equalsIgnoreCase("-path")) {
        basePath = args[argIndex + 1];
        argIndex += 2;
      } else if (args[argIndex].equalsIgnoreCase("-useEscapedParens")) {
        useEscapedParens = true;
        argIndex += 1;

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