A Learning to rank framework based on cross-lingual loss function for cross-lingual information retrieval.
Elham GhanbariAzadeh ShakeryPublished in: Appl. Intell. (2022)
Keyphrases
- loss function
- cross lingual
- learning to rank
- cross lingual information retrieval
- machine translation
- pairwise
- language modeling
- support vector
- cross language
- ranking functions
- text classification
- chinese english
- probabilistic model
- document retrieval
- translation model
- linguistic resources
- information retrieval
- document collections
- ranking algorithm
- text categorization
- text retrieval
- information retrieval systems
- active learning
- query translation
- parallel corpus