Learning to Rank Arguments with Feature Selection.
Christopher AkikiMaik FröbeMatthias HagenMartin PotthastPublished in: CLEF (Working Notes) (2021)
Keyphrases
- learning to rank
- feature selection
- ranking functions
- loss function
- information retrieval
- active sampling
- text categorization
- ranking svm
- evaluation measures
- evaluation metrics
- support vector
- feature extraction
- collaborative filtering
- information gain
- text classification
- document retrieval
- feature space
- direct optimization
- multi class
- mutual information
- machine learning
- retrieval systems
- learning to rank algorithms
- model selection
- sparse pca
- feature set
- test collection
- feature subset
- knn
- classification accuracy
- query dependent
- search engine
- exploration exploitation dilemma
- balancing exploration and exploitation
- metadata
- web search engines
- web documents
- information retrieval systems
- support vector machine
- feature vectors
- pairwise