ACL RD-TEC 1.0 Summarization of P01-1070
Paper Title:
USING MACHINE LEARNING TECHNIQUES TO INTERPRET WH-QUESTIONS
USING MACHINE LEARNING TECHNIQUES TO INTERPRET WH-QUESTIONS
Authors: Ingrid Zukerman and Eric Horvitz
Primarily assigned technology terms:
- capitalization
- content planning
- data collection
- decision tree
- decision trees
- decision-tree
- decision-tree generation
- document retrieval
- identification
- internet
- internet search
- language parser
- language processing
- learning
- learning techniques
- machine learning
- machine learning techniques
- machine-learning
- modeling
- natural language parser
- natural language processing
- nlp
- parser
- processing
- qa system
- query expansion
- question answering
- retrieval process
- search
- search engine
- search engines
- search service
- statistical methods
- supervised learning
- supervised machine learning
- supervised machine-learning
- tagger
- tagging
Other assigned terms:
- approach
- baseline measure
- case
- content words
- data sets
- distribution
- document
- encyclopedia
- fact
- generation
- information need
- likelihood
- linguistic
- linguistic features
- linguistic structures
- measure
- message
- methodology
- natural language
- nouns
- parse
- parse tree
- parts-of-speech
- planning process
- prior probability
- probabilistic information
- probabilistic models
- probabilities
- probability
- procedure
- process
- pronouns
- proper noun
- qa research
- queries
- query
- query length
- set size
- statistical models
- tags
- technologies
- term
- test set
- training
- training data
- training set
- tree
- trees
- user
- user profile
- verb
- word
- words
