ACL RD-TEC 1.0 Summarization of C02-1090
Paper Title:
TAXONOMY LEARNING - FACTORING THE STRUCTURE OF A TAXONOMY INTO A SEMANTIC CLASSIFICATION DECISION
TAXONOMY LEARNING - FACTORING THE STRUCTURE OF A TAXONOMY INTO A SEMANTIC CLASSIFICATION DECISION
Authors: Viktor Pekar and Steffen Staab
Primarily assigned technology terms:
- algorithm
- categorization
- classification
- classification algorithm
- classification techniques
- classifier
- classifiers
- computing
- factoring
- information extraction
- information retrieval
- knn
- learning
- likelihood estimation
- maximum likelihood
- maximum likelihood estimation
- measuring
- nearest neighbors
- nlp
- optimization
- preprocessing
- search
- semantic classification
- shortest path
- taxonomy learning
- text categorization
Other assigned terms:
- approach
- benchmark
- british national corpus
- case
- coefficient
- concept
- concepts
- context words
- distributional similarity
- domain-specific thesaurus
- estimation
- evaluation method
- fact
- function words
- hyponym
- hyponyms
- hypothesis
- knowledge
- leaf
- lexical item
- lexical items
- lexical knowledge
- lexicon
- likelihood
- meaning
- meanings
- measure
- measures
- method
- nlp applications
- nouns
- ontology
- probabilities
- procedure
- process
- proper noun
- representations
- search space
- semantic
- semantic class
- semantic classes
- semantic representations
- semantic similarity
- sentence
- sentence boundaries
- similarity measure
- similarity measures
- similarity score
- skew divergence
- sparse data
- statistical significance
- statistics
- stem
- synonym
- synonym set
- synonyms
- synsets
- target word
- taxonomy
- technique
- terms
- text
- thesaurus
- thesaurus tree
- training
- training set
- tree
- tree node
- understanding
- web site
- word
- word classes
- wordnet
- words
