ACL RD-TEC 1.0 Summarization of W98-1120
Paper Title:
A DECISION TREE METHOD FOR FINDING AND CLASSIFYING NAMES IN JAPANESE TEXTS
A DECISION TREE METHOD FOR FINDING AND CLASSIFYING NAMES IN JAPANESE TEXTS
Authors: Satoshi Sekine and Ralph Grishman and Hiroyuki Shinnou
Primarily assigned technology terms:
- algorithm
- analyzer
- automatic learning
- bootstrapping
- bootstrapping method
- decision tree
- decision tree algorithm
- decision tree method
- decision trees
- dictionary look-up
- japanese morphological analyzer
- learning
- learning techniques
- machine learning
- machine learning techniques
- morphological analyzer
- part-of-speech tagging
- probabilistic method
- search
- segmentation
- smoothing
- smoothing technique
- tagging
- tile
- token segmentation
- tree algorithm
- tree method
- viterbi
- viterbi algorithm
Other assigned terms:
- alphabet
- case
- character type
- characters
- data sparseness
- data sparseness problem
- dictionaries
- dictionary
- dictionary entries
- distance score
- entity class
- entity type
- entity types
- evaluation data
- events
- f-score
- fact
- feature
- feature sets
- human knowledge
- kanji
- katakana
- knowledge
- leaf
- lexical information
- method
- named entities
- named entity
- named entity type
- names
- nouns
- part-of-speech
- part-of-speech information
- part-ofspeech
- portability
- precision
- prefixes and suffixes
- probabilities
- probability
- proper names
- sentence
- sentences
- slot
- sparseness problem
- suffix
- suffixes
- symbol
- system development
- tags
- technique
- terms
- text
- tile system
- tokens
- training
- training corpus
- training data
- training phase
- training set
- training size
- tree
- trees
- understanding
- verb
- word
- words
