We Need to Talk About Classification Evaluation Metrics in NLP.
Peter VickersLoïc BarraultEmilio MontiNikolaos AletrasPublished in: IJCNLP (1) (2023)
Keyphrases
- evaluation metrics
- precision and recall
- classification accuracy
- machine learning
- average precision
- feature vectors
- decision trees
- feature selection
- support vector
- training set
- active learning
- natural language processing
- evaluation measures
- evaluation methods
- digital libraries
- feature extraction
- benchmark datasets
- question answering
- machine translation
- data sets