Vector of Locally-Aggregated Word Embeddings (VLAWE): A novel document-level embedding.
Radu Tudor IonescuAndrei M. ButnaruPublished in: CoRR (2019)
Keyphrases
- document level
- vector space
- sentence level
- sentiment classification
- language model
- sentiment analysis
- word level
- feature vectors
- retrieval model
- similarity search
- query expansion
- distance measure
- vector space model
- n gram
- pseudo relevance feedback
- document retrieval
- multi document summarization
- novelty detection
- term frequency
- machine learning
- coreference resolution
- information retrieval systems
- dimensionality reduction
- low dimensional
- retrieval strategies
- information retrieval