ACL RD-TEC 1.0 Summarization of C96-2157
Paper Title:
A SELF-LEARNING UNIVERSAL CONCEPT SPOTTER
A SELF-LEARNING UNIVERSAL CONCEPT SPOTTER
Authors: Tomek Strzalkowski and Jin Wang
Primarily assigned technology terms:
- bootstrapping
- bootstrapping process
- categorization
- classification
- computing
- concept identification
- corpus-based training
- database
- disambiguation
- human language
- identification
- indexing
- learning
- learning process
- listing
- message understanding
- normalization
- partitioning
- preprocessing
- search
- seed selection
- semantic categorization
- semantic classification
- semantic tagging
- spotter
- summarization
- tagger
- tagging
- text extraction
- text indexing
- text summarization
- tile
- unsupervised learning
- validation
- weighting
Other assigned terms:
- abbreviation
- case
- categorization problem
- concept
- concepts
- conditional probabilities
- context window
- device
- dictionary
- distribution
- domain model
- fact
- french
- homonym
- index
- lexical context
- lexicon
- message
- method
- n-gram
- n-grams
- names
- natural language
- natural language text
- noise
- noun groups
- noun phrase
- noun phrases
- nouns
- phrase
- precision
- prepositions
- probabilities
- probability
- process
- seed
- semantic
- semantic categorization problem
- semantic class
- semantic type
- sentences
- speech information
- statistics
- syntactic level
- text
- text corpus
- tokens
- training
- training corpus
- understanding
- user
- window size
- word
- word sense
- word-net
- wordnet
- wordnet hierarchy
- words
