ACL RD-TEC 1.0 Summarization of W02-1036
Paper Title:
COMBINING OUTPUTS OF MULTIPLE JAPANESE NAMED ENTITY CHUNKERS BY STACKING
COMBINING OUTPUTS OF MULTIPLE JAPANESE NAMED ENTITY CHUNKERS BY STACKING
Authors: Takehito Utsuro and Manabu Sassano and Kiyotaka Uchimoto
Primarily assigned technology terms:
- algorithm
- analyzer
- chunking
- classifier
- classifiers
- computational linguistics
- decision list learning
- entity recognition
- information retrieval
- information retrieval and extraction
- japanese morphological analyzer
- language processing
- learning
- learning algorithm
- learning method
- learning techniques
- machine learning
- machine learning techniques
- maximum entropy
- maximum entropy model
- morphological analyzer
- named entity chunking
- named entity recognition
- nlp
- noun phrase chunking
- parsing
- phrase chunking
- processing
- recognition
- supervised learning
- tagging
- voting
Other assigned terms:
- association for computational linguistics
- base noun
- base noun phrase
- case
- conditional probability
- contextual information
- data set
- data sets
- decision rule
- distribution
- entity types
- entropy
- entropy models
- events
- feature
- kanji
- katakana
- lexical items
- linguistics
- maximum entropy models
- method
- morpheme
- morphemes
- named entities
- named entity
- noun phrase
- part-of-speech
- part-of-speech tags
- parts-of-speech
- phrase
- probability
- procedure
- process
- segments
- symbols
- tags
- technique
- test data
- test data set
- text
- training
- training and test data
- training corpus
- training data
- training data set
- training phase
