ACL RD-TEC 1.0 Summarization of W04-2413
Paper Title:
SEMANTIC ROLE LABELLING WITH CHUNK SEQUENCES
SEMANTIC ROLE LABELLING WITH CHUNK SEQUENCES
Authors: Ulrike Baldewein and Katrin Erk and Sebastian Padó and Detlef Prescher
Primarily assigned technology terms:
- algorithm
- argument identification
- beam search
- classification
- classifier
- clustering
- cutoff
- em algorithm
- em-based clustering
- entropy modelling
- expectation maximisation
- identification
- induction
- learner
- likelihood estimation
- manufacturing
- maxent
- maximum entropy
- maximum entropy approach
- maximum entropy learner
- maximum entropy model
- maximum likelihood
- maximum likelihood estimation
- modelling
- nlp
- optimisation
- re-ranking
- role assignment
- role labelling
- search
- searching
- semantic role assignment
- semantic role labeling
- semantic role labelling
Other assigned terms:
- annotated lexicon
- approach
- argument boundary
- argument position
- beam
- chunk
- chunks
- clusters
- co-occurrence
- development set
- distribution
- english propbank data
- entropy
- entropy models
- estimation
- f score
- f-score
- fact
- feature
- feature sets
- feature vector
- framenet
- head word
- heuristics
- identification model
- independence assumption
- labeling
- lemma
- lexicon
- likelihood
- log-likelihood
- log-linear model
- maximum entropy models
- measure
- named entity
- negation
- part of speech
- precision
- preposition
- prepositions
- probability
- probability distribution
- probability model
- procedure
- propbank
- role labeling
- semantic
- semantic role
- semantic roles
- sentence
- sentences
- sources of information
- statistical approach
- statistics
- syntactic information
- target verb
- test set
- training
- training corpus
- training data
- training set
- verb
- word
- word level
- words
