Enhancing Contextualised Language Models with Static Character and Word Embeddings for Emotional Intensity and Sentiment Strength Detection in Arabic Tweets.
Abdullah I. AlharbiPhillip SmithMark LeePublished in: ACLING (2021)
Keyphrases
- language model
- n gram
- language modeling
- translation model
- document retrieval
- document level
- handwritten words
- information retrieval
- out of vocabulary
- speech recognition
- word error rate
- statistical language modeling
- statistical language models
- language modelling
- probabilistic model
- query expansion
- context sensitive
- test collection
- retrieval model
- sentence level
- vector space model
- language independent
- multiword
- smoothing methods
- sentiment analysis
- word segmentation
- printed text
- writer independent
- language models for information retrieval
- spoken term detection
- relevance model
- handwriting recognition
- optical character recognition
- vector space
- social media
- query specific
- handwritten documents
- document ranking
- word recognition
- pseudo relevance feedback
- document collections
- low dimensional
- bayesian networks