A regression approach to valence-arousal ratings of words from word embedding.
Minglei LiYunfei LongQin LuPublished in: IALP (2016)
Keyphrases
- n gram
- related words
- english words
- word sense disambiguation
- emotional state
- word recognition
- unknown words
- word meaning
- word pairs
- word frequencies
- word segmentation
- multiword
- lexical information
- word spotting
- syntactic categories
- chinese word segmentation
- regression model
- linguistic information
- text corpus
- stop words
- keywords
- word co occurrence
- collaborative filtering
- word similarity
- sentence level
- query words
- linguistic knowledge
- lexical features
- co occurrence
- spoken document retrieval
- word level
- printed text
- numeral strings
- handwritten words
- punctuation marks
- frequency counts
- distributional clustering
- out of vocabulary
- latent topics
- noun phrases
- automatic transcription
- compound words
- word meanings
- word sense
- word frequency
- recommender systems
- training corpus
- chinese text
- natural language text
- wordnet
- handwriting recognition
- translation model
- vector space
- speech recognition systems
- language model
- short list
- handwritten documents
- parallel corpus
- face recognition