ACL RD-TEC 1.0 Summarization of A97-1051
Paper Title:
MIXED-INITIATIVE DEVELOPMENT OF LANGUAGE PROCESSING SYSTEMS
MIXED-INITIATIVE DEVELOPMENT OF LANGUAGE PROCESSING SYSTEMS
Authors: David Day and John Aberdeen and Lynette Hirschman and Robyn Kozierok and Patricia Robinson and Marc Vilain
Primarily assigned technology terms:
- algorithm
- automatic generation
- automatic rule-learuing
- automatic rule-learuing procedure
- automatic tagging
- automatic training
- bootstrap
- bootstrapping
- bootstrapping procedure
- bootstrapping process
- corpus annotation
- corpus development
- corpus-based language processing
- deep text understanding
- development environment
- discourse-level inference
- document manager
- editing
- entity tagging
- errorreduction learning
- extraction system
- extraction systems
- forward chaining
- graphical user interface
- hypothesis generation
- indexing
- information extraction
- information extraction system
- information extraction systems
- interface design
- interfaces
- kernel
- language processing
- language processing system
- language processing systems
- learner
- learning
- learning method
- learning procedure
- learning process
- learning system
- machine learning
- message understanding
- mixed-initiative system
- named entity tagging
- named-entity tagging
- natural language processing
- natural language processing system
- natural language processing systems
- natural language systems
- nlp
- nlp system
- nlp systems
- normalization
- part-of-speech tagging
- phrase tagging
- post-processing
- pre-processing
- processing
- recognition
- reporting
- rule formation
- rule interpreter
- rule learning
- rule-learning
- rule-learuing
- rule-learuing procedure
- scoring
- solaris
- summarization
- tagger
- taggers
- tagging
- tagging procedure
- tagging process
- text processing
- text processing system
- text understanding
- tokenizafion
- tokenization
- translator
- user interface
- visualization
Other assigned terms:
- ambiguity
- annotated corpora
- annotated corpus
- annotated training corpus
- annotation
- annotation process
- annotation task
- annotator
- annotators
- approach
- bootstrapping cycle
- case
- chunks
- community
- corpora
- data sets
- derivation
- development cycle
- document
- document collections
- document structure
- document type description
- domain-specific information
- end-user
- end-user feedback
- evaluation function
- evaluations
- experimental results
- f-measure
- fact
- generation
- genre
- heuristic
- heuristic rules
- heuristics
- human annotator
- human annotators
- hypotheses
- hypothesis
- implementation
- information extraction task
- inter-annotator agreement
- interpretation
- interpreter
- invocation
- keyword
- knowledge
- labeling
- lexeme
- linguistic
- linguistic intuition
- linguistic theory
- lisp
- manual annotation
- manual tagging
- mark-up
- markup
- measure
- measures
- mechanisms
- message
- message understanding conferences
- method
- methodology
- named entities
- named entity
- named entity task
- named-entity
- natural language
- noise
- oracle
- parse
- part-of-speech
- phrase
- precision
- procedure
- process
- proper noun
- rule language
- rule schemata
- rule sequence
- rule set
- rule sets
- russian
- semantic
- semantic interpretation
- sentence
- sentences
- set size
- sgml mark-up
- small training corpora
- source text
- style
- syntax
- system development
- system performance
- tag information
- tagged text
- tagging performance
- tagging task
- tags
- template element
- test corpora
- test corpus
- test data
- text
- text annotation
- text corpora
- theories
- theory
- training
- training corpora
- training corpus
- training data
- training set
- training set size
- understanding
- user
- word
- word lists
- words
- world knowledge