ACL RD-TEC 1.0 Summarization of N06-2024
Paper Title:
NER SYSTEMS THAT SUIT USER’S PREFERENCES: ADJUSTING THE RECALL-PRECISION TRADE-OFF FOR ENTITY EXTRACTION
NER SYSTEMS THAT SUIT USER’S PREFERENCES: ADJUSTING THE RECALL-PRECISION TRADE-OFF FOR ENTITY EXTRACTION
Authors: Einat Minkov and Richard Wang and Anthony Tomasic and William Cohen
Primarily assigned technology terms:
- algorithm
- capitalization
- classification
- classifier
- classifiers
- computing
- conditional random fields
- confidence estimation
- crfs
- database
- dynamic programming
- dynamic programming method
- encoding
- entity extraction
- entity recognition
- entity-level optimization
- extractor
- hidden markov
- hidden markov models
- hmms
- learning
- learning methods
- linear search
- named entity recognition
- non-sequential classifier
- optimization
- programming method
- recognition
- search
- sequential learning
- structured learning
- thresholding
- tuning
- votedpercepton
Other assigned terms:
- approach
- baseline model
- case
- confidence score
- confidence scores
- corpora
- empirical results
- enron corpus
- estimation
- evaluation metric
- f-measure
- fact
- feature
- implementation
- knowledge
- log-likelihood
- markov models
- measure
- measures
- method
- named entities
- named entity
- names
- person names
- personal names
- precision
- probability
- procedure
- process
- search procedure
- statistics
- system performance
- technique
- term
- terms
- test set
- text
- tokens
- training
- training data
- training examples
- user
- word
- words
