ACL RD-TEC 1.0 Summarization of P04-3022
Paper Title:
COMBINING LEXICAL, SYNTACTIC, AND SEMANTIC FEATURES WITH MAXIMUM ENTROPY MODELS FOR INFORMATION EXTRACTION
COMBINING LEXICAL, SYNTACTIC, AND SEMANTIC FEATURES WITH MAXIMUM ENTROPY MODELS FOR INFORMATION EXTRACTION
Primarily assigned technology terms:
- automatic content extraction
- classification
- computing
- detection and tracking
- entity detection
- entity detection and tracking
- extraction system
- extraction systems
- kernel
- learning
- maximum entropy
- mention detection
- parser
- question answering
- ranking
- reading
- relation detection
- relation extraction
- statistical parser
- taggers
- unsupervised learning
Other assigned terms:
- annotation
- annotators
- approach
- case
- chunk
- classification problem
- dependency tree
- dependency trees
- development set
- document
- entity types
- entropy
- entropy models
- experimental results
- f measure
- fact
- feature
- generative models
- information sources
- inter-annotator agreement
- lexical features
- maximum entropy models
- measure
- names
- nist
- noun phrase
- parse
- parse tree
- part-of-speech
- phrase
- precision
- prepositional phrase
- pronouns
- queries
- relation
- semantic
- semantic features
- semantic information
- semantic relationships
- sentence
- sentence fragment
- statistical approach
- syntactic features
- syntactic parse
- syntactic parse tree
- syntactic patterns
- text
- training
- training data
- training set
- tree
- trees
- verb
- verb phrase
- vocabulary
- web site
- word
- wordnet
- words
