rzo1 opened a new pull request, #998:
URL: https://github.com/apache/opennlp/pull/998
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### Note:
Converted the model mentioned in the issue to ONXX first. Did run a test via
```
public class RobertaGoEmotionsTest {
private static final String MODEL_DIR = "roberta-base-go_emotions";
public static void main(String[] args) throws Exception {
final File modelDir = new File(MODEL_DIR);
if (!modelDir.exists()) {
System.err.println("Model directory not found: " +
modelDir.getAbsolutePath());
System.err.println("Clone it with: git clone
https://huggingface.co/SamLowe/roberta-base-go_emotions";);
return;
}
final File onnxModel = new File(modelDir, "model.onnx");
if (!onnxModel.exists()) {
System.err.println("ONNX model file not found: " +
onnxModel.getAbsolutePath());
System.err.println("Download it from:
https://huggingface.co/SamLowe/roberta-base-go_emotions/resolve/main/onnx/model.onnx";);
return;
}
final File vocabFile = new File(modelDir, "vocab.json");
final File configFile = new File(modelDir, "config.json");
// RoBERTa does not use token_type_ids
final InferenceOptions inferenceOptions = new InferenceOptions();
inferenceOptions.setIncludeTokenTypeIds(false);
try (DocumentCategorizerDL categorizer = new DocumentCategorizerDL(
onnxModel, vocabFile, configFile,
new AverageClassificationScoringStrategy(),
inferenceOptions)) {
final String[] testSentences = {
"I am so happy today!",
"This is terrible and I hate it.",
"Thank you so much for your help!",
"I'm not sure what to think about this.",
"That's hilarious, I can't stop laughing!"
};
for (final String sentence : testSentences) {
System.out.println("Input: \"" + sentence + "\"");
final SortedMap<Double, Set<String>> scores =
categorizer.sortedScoreMap(new String[] {sentence});
System.out.println(" Top emotions:");
final List<Double> sortedScores = new ArrayList<>(scores.keySet());
Collections.reverse(sortedScores);
int count = 0;
for (final Double score : sortedScores) {
if (count++ >= 3) break;
System.out.printf(" %-20s %.4f%n", scores.get(score), score);
}
System.out.println();
}
}
}
}
```
This will fail with the unpatched version but will work with the patch:
```
Input: "I am so happy today!"
Top emotions:
[joy] 0,8805
[excitement] 0,0736
[neutral] 0,0105
Input: "This is terrible and I hate it."
Top emotions:
[anger] 0,6766
[annoyance] 0,1317
[disapproval] 0,1008
Input: "Thank you so much for your help!"
Top emotions:
[gratitude] 0,9992
[approval] 0,0001
[admiration] 0,0001
Input: "I'm not sure what to think about this."
Top emotions:
[confusion] 0,9703
[neutral] 0,0082
[disapproval] 0,0025
Input: "That's hilarious, I can't stop laughing!"
Top emotions:
[amusement] 0,7920
[joy] 0,1405
[neutral] 0,0279
```
Note: Since we do not use a JSON library (like jackson) here, I used a regex
approach with a quirky check to parse a json based vocab file. The original
issue failed due to missing Roberta special tokens.
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