Extracting relations from texts using vector language models and a neural network classifier.
Maksim G. ShishaevV. V. DikovitskyVadim PimeshkovNikita KuprikovMikhail KuprikovViacheslav ShkodyrevPublished in: PeerJ Comput. Sci. (2023)
Keyphrases
- language model
- neural network
- language modeling
- n gram
- probabilistic model
- document retrieval
- speech recognition
- query expansion
- information retrieval
- retrieval model
- language modelling
- language models for information retrieval
- decision trees
- query terms
- smoothing methods
- feature space
- statistical language models
- test collection
- vector space model
- context sensitive
- document ranking
- feature selection
- class labels
- text documents
- natural language
- pattern recognition
- keywords
- semantic relations
- training data
- learning algorithm
- query specific
- spoken term detection
- okapi bm
- ad hoc information retrieval
- relevance model
- pseudo relevance feedback
- vector space
- question answering
- text categorization
- wordnet
- natural language processing
- information extraction
- support vector machine
- feature vectors
- training set
- machine learning