Measuring Popularity of Machine-Generated Sentences Using Term Count, Document Frequency, and Dependency Language Model.
Jong Myoung KimHancheol ParkYoung-Seob JeongHo-Jin ChoiGahgene GweonJeong HurPublished in: PACLIC (2015)
Keyphrases
- language model
- document frequency
- n gram
- document representation
- term frequency
- dependency structure
- retrieval model
- query terms
- language modeling
- retrieved documents
- document retrieval
- query expansion
- text categorization
- probabilistic model
- pseudo relevance feedback
- information retrieval
- test collection
- retrieval effectiveness
- vector space model
- feature selection
- information gain
- term weighting
- multiword
- tf idf
- smoothing methods
- bag of words
- natural language
- text classification
- relevance model
- bayesian networks
- training data
- decision trees
- digital libraries
- ad hoc retrieval
- text retrieval
- machine learning