Automatic ranking of swear words using word embeddings and pseudo-relevance feedback.
Luis Fernando D'HaroRafael E. BanchsPublished in: APSIPA (2015)
Keyphrases
- pseudo relevance feedback
- query words
- noun phrases
- n gram
- retrieved documents
- language model
- query expansion
- automatic query expansion
- relevance model
- document ranking
- document level
- pseudo feedback
- retrieval effectiveness
- document retrieval
- expert search
- query specific
- multiword
- document frequency
- ad hoc information retrieval
- average precision
- word pairs
- relevance feedback
- word sense disambiguation
- relevant documents
- translation model
- keywords
- learning to rank
- language modeling
- information retrieval systems
- ranking functions
- information retrieval
- term frequency
- sentence level
- web search
- ranking algorithm
- query terms
- vector space
- text retrieval
- probabilistic model
- search engine
- ranked list
- retrieval model
- test collection
- machine learning