Semantic Relationship between Abbreviations and the Original Words Based on Word Vectors.
Jianyu ZhengJin SunXin'ge XiaoLijiao YangPublished in: ICIAI (2019)
Keyphrases
- word segmentation
- word pairs
- word similarity
- linguistic information
- n gram
- document space
- word recognition
- related words
- word sense disambiguation
- semantic relatedness between words
- natural language text
- unknown words
- syntactic analysis
- dependency relations
- word sense
- word meaning
- keywords
- english words
- semantic similarity
- lexical database
- wordnet
- noun phrases
- word frequencies
- word meanings
- co occurrence
- semantic relationships
- text corpus
- word level
- chinese word segmentation
- word frequency
- semantic categories
- lexical information
- text processing
- text corpora
- semantically related
- semantic relations
- arabic text
- semantic information
- multiword
- linguistic knowledge
- word spotting
- language independent
- printed text
- syntactic categories
- latent topics
- vector space
- lexical semantics
- word co occurrence
- topic models
- concept space
- semantic meaning
- semantic network
- numeral strings
- out of vocabulary
- ambiguous words
- query words
- stop words
- semantic space
- spoken document retrieval
- semantic roles
- natural language
- semantic relatedness
- translation model