ACL RD-TEC 1.0 Summarization of W04-1705
Paper Title:
INDEXING STUDENT ESSAYS PARAGRAPHS USING LSA OVER AN INTEGRATED ONTOLOGICAL SPACE
INDEXING STUDENT ESSAYS PARAGRAPHS USING LSA OVER AN INTEGRATED ONTOLOGICAL SPACE
Authors: Gaston G. Burek and Maria Vargas-Vera and Emanuela Moreale
Primarily assigned technology terms:
- approximation
- automated essay scoring
- categorisation
- database
- dimension reduction
- disambiguation
- essay assessment
- essay assessor
- essay evaluation
- essay grading
- essay scoring
- human language
- human language technology
- indexing
- information filtering
- information retrieval
- inner product
- intelligent essay assessor
- language processing
- language technology
- latent semantic analysis
- latent semantic indexing
- measuring
- natural language processing
- nlp
- ontology integration
- parsing
- processing
- ranking
- scoring
- semantic analysis
- semantic indexing
- sense disambiguation
- text categorisation
- validation
- vector space model
- weighting
- word sense disambiguation
Other assigned terms:
- annotation
- approach
- bag of words
- benchmark
- binary relation
- binary relations
- case
- cluster
- coherence
- comprehension
- computational complexity
- concepts
- cosine similarity
- cosine similarity measure
- distribution
- document
- domain knowledge
- essay
- explicit domain knowledge
- fact
- feature
- first order logic
- index
- keyword
- knowledge
- latent semantic
- likelihood
- linguistic
- linguistic features
- logic
- measure
- measures
- method
- methodology
- names
- natural language
- noise
- ontologies
- ontology
- paragraph
- paragraphs
- predicate argument
- predicates
- procedure
- process
- queries
- query
- question types
- relation
- representations
- schema
- segments
- semantic
- semantic similarity
- semantic space
- semantic vector
- sentences
- similarity measure
- similarity measures
- style
- syntax
- technology
- term
- terms
- text
- text coherence
- topics
- understanding
- vector space
- weighting scheme
- word
- word sense
- words
