Contextual Knowledge Representation for Requirements Documents in Natural Language.
Beum-Seuk LeeBarrett R. BryantPublished in: FLAIRS Conference (2002)
Keyphrases
- knowledge representation
- natural language
- written in natural language
- natural language understanding
- context sensitive
- natural language text
- natural language processing
- information retrieval
- linguistic analysis
- machine learning
- natural language questions
- semantic representation
- knowledge acquisition
- logic programming
- document collections
- artificial intelligence
- description logics
- natural language interface
- context dependent
- knowledge base
- knowledge engineering
- document clustering
- xml documents
- language processing
- expert systems
- relevant documents
- information retrieval systems
- web documents
- contextual information
- text documents
- automated reasoning
- semantic analysis
- knowledge based systems
- question answering systems
- metadata
- keywords
- semantic web
- document classification
- free text
- formal representation
- question answering
- latent semantic indexing
- semantic information
- retrieval systems
- legal documents
- software requirements
- natural language generation
- database
- uml models
- semantic content
- application specific
- knowledge structures
- document representation
- vector space model
- ranked list
- query terms
- machine translation
- document retrieval
- relational databases