ACL RD-TEC 1.0 Summarization of E06-2012
Paper Title:
MAYTAG: A MULTI-STAGED APPROACH TO IDENTIFYING COMPLEX EVENTS IN TEXTUAL DATA
MAYTAG: A MULTI-STAGED APPROACH TO IDENTIFYING COMPLEX EVENTS IN TEXTUAL DATA
Authors: Conrad Chang and Lisa Ferro and John Gibson and Janet Hitzeman and Suzi Lubar and Justin Palmer and Sean Munson and Marc Vilain and Benjamin Wellner
Primarily assigned technology terms:
- browser
- classification
- classification method
- classifier
- database
- event extraction
- hill climbing
- identification
- information extraction
- language processing
- learning
- learning framework
- maximum entropy
- mining
- modeling
- name tagging
- nlp
- off-line processing
- online learning
- parser
- processing
- processing tools
- relational database
- role assignment
- rule-based tagger
- shallow parser
- statistical methods
- statistical processing
- statistical training
- subject classification
- subject identification
- support vector machines
- tagger
- taggers
- tagging
- text classification
- text mining
Other assigned terms:
- approach
- case
- chunk
- chunks
- concept
- contextual information
- cross-document coreference
- discourse
- document
- document collection
- document set
- entropy
- events
- experimental results
- fact
- feature
- feature types
- input text
- interpretation
- linguistic
- linguistic expressions
- local context
- meta-data
- method
- named entities
- named entity
- names
- paragraph
- paragraphs
- phrase
- precision
- process
- queries
- query
- relation
- segments
- semantic
- semantic type
- sentence
- support vector
- terms
- text
- text collection
- text segments
- trainable approach
- training
- training data
- training examples
- understanding
- user
- vocabulary
- word
- words
