ACL RD-TEC 1.0 Summarization of P99-1030
Paper Title:
ANALYSIS SYSTEM OF SPEECH ACTS AND DISCOURSE STRUCTURES USING MAXIMUM ENTROPY MODEL
ANALYSIS SYSTEM OF SPEECH ACTS AND DISCOURSE STRUCTURES USING MAXIMUM ENTROPY MODEL
Authors: Won Seug Choi and Jeong-Mi Cho and Jungyun Sea
Primarily assigned technology terms:
- computer system
- dialogue analysis
- discourse analysis
- discourse structure analysis
- discourse structure tagging
- learning
- machine learning
- maximum entropy
- maximum entropy model
- modeling
- natural language dialogue
- normalization
- parsing
- plan inference
- speech act analysis
- statistical dialogue analysis
- statistical parsing
- structure analysis
- tagging
Other assigned terms:
- ambiguity
- analysis model
- case
- conditional probabilities
- contextual information
- cue phrases
- data sparseness
- data sparseness problem
- dialogue analysis model
- dialogue corpus
- dialogues
- discourse
- discourse knowledge
- discourse segment
- discourse structure
- discourse structures
- entropy
- experimental results
- feature
- hand-crafted knowledge
- intention
- interpretation
- knowledge
- meanings
- model parameter
- modeling toolkit
- n-gram
- n-gram model
- n-grams
- natural language
- open test
- probabilities
- probability
- process
- relation
- rule-based model
- segment boundaries
- sentence
- sentences
- sparseness problem
- speech act
- speech acts
- statistical model
- statistical models
- structural information
- surface utterance
- syntactic features
- syntactic pattern
- system performance
- tagged corpus
- term
- terms
- test data
- testing corpus
- toolkit
- training
- training corpus
- training example
- training examples
- training phase
- transformation
- tree
- tree structure
- trigram
- user
- utterance
- word
