ACL RD-TEC 1.0 Summarization of E06-1033
Paper Title:
ADAPTIVE TRANSFORMATION-BASED LEARNING FOR IMPROVING DICTIONARY TAGGING
ADAPTIVE TRANSFORMATION-BASED LEARNING FOR IMPROVING DICTIONARY TAGGING
Authors: Burcu Karagol-Ayan and David Doermann and Amy Weinberg
Primarily assigned technology terms:
- adaptive technique
- algorithm
- analyzer
- classification
- document image analysis
- entry tagger
- final state
- hmm tagger
- hmms
- instantiation
- iterative learning
- language processing
- learning
- learning algorithm
- learning process
- machine learning
- machine learning algorithm
- matching
- natural language processing
- nlp
- null processing
- post-processing
- processing
- rule-based entry tagger
- rule-based machine
- rule-based method
- rule-based tagging
- search
- splitting
- tagger
- tagging
- tagging system
- transformation-based learning
Other assigned terms:
- ambiguity
- annotated training corpus
- annotation
- approach
- bilingual dictionaries
- case
- classification accuracy
- comparable corpora
- corpora
- data sparseness
- data sparseness problem
- dictionaries
- dictionary
- dictionary entries
- dictionary entry
- document
- error rate
- font style information
- heuristics
- human operator
- implementation
- interpretation
- lexicographic information
- linguistic
- measure
- method
- natural language
- nlp tasks
- noise
- noisy input
- ordered list
- parallel corpora
- parts of speech
- phrase
- phrase boundary
- process
- punctuation
- punctuation mark
- search space
- senses of a word
- sparseness problem
- standard deviation
- style
- style accuracy
- style information
- symbol
- tagging accuracy
- tags
- technique
- test data
- tokens
- training
- training corpus
- training data
- training time
- transformation
- transformation rules
- translations
- user
- word
- words
