ACL RD-TEC 1.0 Summarization of W06-1639
Paper Title:
GET OUT THE VOTE: DETERMINING SUPPORT OR OPPOSITION FROM CONGRESSIONAL FLOOR-DEBATE TRANSCRIPTS
GET OUT THE VOTE: DETERMINING SUPPORT OR OPPOSITION FROM CONGRESSIONAL FLOOR-DEBATE TRANSCRIPTS
Authors: Matt Thomas and Bo Pang and Lillian Lee
Primarily assigned technology terms:
- categorization
- citation analysis
- class assignment
- classification
- classifier
- classifiers
- collective classification
- computational linguistics
- encoding
- identification
- language processing
- learning
- modeling
- natural language processing
- near-duplicate detection
- nlp
- optimization
- partitioning
- processing
- semisupervised learning
- sentiment analysis
- support vector machines
- svm classifier
- tagging
- text categorization
- tuning
- voting
Other assigned terms:
- agreement score
- approach
- association for computational linguistics
- baseline performance
- case
- citation
- classification accuracy
- classification problem
- classification task
- concepts
- development set
- discourse
- discourse structure
- discourse units
- document
- experimental results
- fact
- implementation
- labeling
- linguistics
- mean agreement score
- mechanisms
- method
- natural language
- opinion
- opinions
- optimization problem
- parameter settings
- precision
- process
- segments
- sentiment
- sources of information
- speaker identity
- standard deviation
- stem
- stress
- support vector
- svms
- technologies
- technology
- term
- test set
- text
- text segments
- topics
- training
- training set
- transcripts
- utterance
- words
