Comparing Word Embeddings for Document Screening based on Active Learning.
Andres CarvalloDenis ParraPublished in: BIRNDL@SIGIR (2019)
Keyphrases
- active learning
- latent topics
- keywords
- term frequency
- spoken document retrieval
- semi supervised
- document classification
- related words
- learning algorithm
- co occurrence
- noun phrases
- document collections
- text corpus
- word level
- document images
- retrieval systems
- information retrieval systems
- document retrieval
- compound words
- printed documents
- word co occurrence
- document space
- short list
- word sense
- query words
- word clouds
- n gram
- vector space
- document clustering
- information retrieval
- web documents
- semantic information
- tf idf
- random sampling
- relevance feedback
- document image retrieval
- search engine
- retrieval model
- term weighting
- machine translation
- text documents
- relevant documents
- user queries
- labeled data
- text classification
- training data
- word sense disambiguation