ACL RD-TEC 1.0 Summarization of W06-3406
Paper Title:
IMPROVING "EMAIL SPEECH ACTS" ANALYSIS VIA N-GRAM SELECTION
IMPROVING "EMAIL SPEECH ACTS" ANALYSIS VIA N-GRAM SELECTION
Authors: Vitor Carvalho and William Cohen
Primarily assigned technology terms:
- algorithm
- classification
- classifier
- classifiers
- computing
- conversational analysis
- crossvalidation
- feature engineering
- feature selection
- feature selection method
- learning
- learning algorithm
- learning algorithms
- machine learning
- machine learning algorithms
- modeling
- n-gram selection
- preprocessing
- selection method
- speech act classification
Other assigned terms:
- annotators
- bigram
- case
- classification error
- classification performance
- classification task
- contextual features
- contextual information
- crossvalidation experiment
- document
- email message
- email speech act
- error rate
- fact
- feature
- human annotators
- implementation
- information gain
- kappa
- kappa statistic
- linguistic
- linguistic intuition
- measure
- message
- method
- n-gram
- n-grams
- nouns
- precision
- probability
- procedure
- pronoun
- pronouns
- punctuation
- punctuation marks
- semantic
- semantic taxonomy
- sentences
- speech act
- speech acts
- statistic
- symbol
- taxonomy
- technique
- terms
- text
- toolkit
- trigram
- words