Second order probabilistic models for within-document novelty detection in academic articles.
Laurence Anthony F. ParkSimeon SimoffPublished in: SIGIR (2014)
Keyphrases
- novelty detection
- probabilistic model
- google scholar
- text filtering
- anomaly detection
- graphical models
- keywords
- scientific documents
- information retrieval
- language model
- support vector data description
- retrieval systems
- document retrieval
- information retrieval systems
- concept drift
- document collections
- relevant documents
- sentence level
- wikipedia articles
- reinforcement learning
- probabilistic retrieval models
- keyword extraction
- relevance model
- language modeling
- news articles
- expectation maximization
- document ranking
- document clustering
- query expansion
- pairwise
- image segmentation
- feature selection