Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset.
Arthur AmalvyVincent LabatutRichard DufourPublished in: EMNLP (2023)
Keyphrases
- learning to rank
- named entities
- synthetic datasets
- ranking functions
- query dependent
- information retrieval
- information extraction
- loss function
- text mining
- co occurrence
- named entity recognition
- question answering
- document retrieval
- relation extraction
- real life
- natural language processing
- ranking svm
- noun phrases
- supervised learning
- retrieval systems
- synthetic data
- collaborative filtering
- experimental study
- test collection
- decision trees
- feature selection
- data sets
- learning to rank algorithms
- unsupervised learning
- language model
- machine learning
- databases