How good are you? An empirical classification performance comparison of large language models with traditional open set recognition classifiers (short paper).
Alexander GroteAnuja HariharanMichael T. KnierimChristof WeinhardtPublished in: ZEUS (2024)
Keyphrases
- language model
- language modeling
- support vector
- pattern recognition
- decision trees
- feature extraction
- probabilistic model
- language modelling
- training set
- svm classifier
- document retrieval
- feature set
- class labels
- n gram
- query expansion
- information retrieval
- text classification
- classification accuracy
- feature selection
- image classification
- speech recognition
- object recognition
- recognition rate
- support vector machine
- ad hoc information retrieval
- statistical language models
- machine learning
- test collection
- bayesian classifier
- language models for information retrieval
- smoothing methods
- query terms
- retrieval model
- training data
- feature space
- feature vectors
- context sensitive
- character recognition
- naive bayes
- statistical language modeling
- hidden markov models