ACL RD-TEC 1.0 Summarization of W03-0421
Paper Title:
A SIMPLE NAMED ENTITY EXTRACTOR USING ADABOOST
A SIMPLE NAMED ENTITY EXTRACTOR USING ADABOOST
Authors: Xavier Carreras and LluÃs Márquez and LluÃs Padró
Primarily assigned technology terms:
- adaboost
- algorithm
- boosting
- boosting algorithm
- classification
- classifier
- classifiers
- computing
- decision trees
- encoding
- entity classification
- entity extraction
- entity extractor
- entity recognition
- error correcting
- extractor
- feature representation
- feature selection
- learning
- learning algorithm
- machine learning
- modeling
- multiclass learning
- named entity classification
- named entity extraction
- named entity recognition
- nlp
- pipelining
- recognition
- sequence tagging
- tagging
- tagging procedure
- tagging process
- voting
- voting scheme
- weighted voting
- weighted voting scheme
- weighting
Other assigned terms:
- affix
- affixes
- benchmark
- binary feature
- binary features
- case
- catalan
- characters
- chunk
- chunk information
- chunks
- classification problem
- classification task
- corpora
- determiners
- development set
- entity recognition task
- experimental setting
- external knowledge
- fact
- feature
- feature set
- gazetteer
- gazetteer information
- german corpus
- knowledge
- labeling
- lemma
- lexical features
- local context
- meaning
- named entities
- named entity
- nlp tasks
- nouns
- part-of-speech
- part-of-speech information
- part-of-speech tags
- phrase
- precision
- prefixes and suffixes
- prepositions
- procedure
- process
- punctuation
- punctuation mark
- recognition task
- representations
- semantic
- semantic information
- sentence
- sentence corpus
- suffix
- suffixes
- synsets
- syntactic features
- tags
- target word
- technology
- test set
- text
- training
- training corpora
- training corpus
- training examples
- training set
- tree
- trees
- word
- word form
- word lists
- word type
- wordnet
- words
