Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics.
Tim SchopfDaniel BraunFlorian MatthesPublished in: CoRR (2022)
Keyphrases
- document retrieval
- information retrieval
- language model
- document collections
- topic modeling
- text retrieval
- relevance feedback
- retrieval model
- cross language
- learning to rank
- topic models
- ranking functions
- vector space
- relevant documents
- pseudo relevance feedback
- document ranking
- spreading activation
- document indexing
- supervised learning
- semi supervised
- keywords
- passage retrieval
- query terms
- query expansion
- information retrieval systems
- language modeling
- inverted index
- training data
- machine learning
- data sets