Leveraging word embeddings and transformers to extract semantics from building regulations text.
Odinakachukwu OkonkwoAmna DridiEdlira VakajPublished in: LDAC (2023)
Keyphrases
- lexical semantics
- semantic information
- sentence level
- keywords
- concept space
- string matching
- natural language text
- text corpus
- word counts
- text input
- english words
- automatically extracted
- english text
- automatically extracting
- linguistic information
- text segments
- co occurrence
- word meanings
- semantic representation
- text retrieval
- vector space
- word pairs
- syntactic information
- cursive handwriting
- lexical information
- related words
- multiword
- named entity recognizer
- syntactic categories
- text mining
- stop words
- semantic representations
- n gram
- word level
- logic programming
- computational linguistics
- search engine
- handwritten documents
- low dimensional
- lexical features
- noun phrases
- compressed text
- printed text
- semantic similarity
- natural language processing
- word sense disambiguation
- chinese text
- character n grams
- text documents
- word sense
- handwritten words