A Machine Learning Approach for Semantic Structuring of Scientific Charts in Scholarly Documents.
Rabah A. Al-ZaidyC. Lee GilesPublished in: AAAI (2017)
Keyphrases
- semantic relationships
- semantic information
- linguistic analysis
- document collections
- semantic relevance
- document content
- scientific documents
- digital libraries
- information retrieval systems
- semantically related
- semantic content
- document centric
- semantic structure
- scientific literature
- web documents
- google scholar
- text documents
- arabic text
- natural language
- word pairs
- semantic representation
- natural language text
- scientific papers
- document retrieval
- concept space
- artificial intelligence
- document classification
- semantic web
- unstructured documents
- semantic knowledge
- semantic similarity
- document clustering
- related concepts
- semantic classes
- text representation
- high level
- linguistic information
- free text
- domain ontology
- semantic features
- relevant documents
- scientific data
- metadata
- sentence similarity
- data mining
- xml documents
- keywords
- related documents
- co occurrence
- multimedia documents
- test collection
- latent semantic analysis
- document representation
- vector space model