ACL RD-TEC 1.0 Summarization of W05-0629
Paper Title:
SEMANTIC ROLE LABELING USING SUPPORT VECTOR MACHINES
SEMANTIC ROLE LABELING USING SUPPORT VECTOR MACHINES
Authors: Tomohiro Mitsumori and Masaki Murata and Yasushi Fukuda and Kouichi Doi and Hirohumi Doi
Primarily assigned technology terms:
- algorithm
- categorization
- charniak parser
- chunker
- classification
- classifiers
- coding
- computational linguistics
- computational natural language learning
- data representation
- document classification
- entity recognition
- feature extraction
- full parsing
- kernel
- language learning
- learning
- machine learning
- machine-learning
- named entity recognition
- natural language learning
- parser
- parsing
- partial parsing
- polynomial kernel
- recognition
- semantic role labeling
- support vector machines
- svm learning
- verb phrases
Other assigned terms:
- annotator
- association for computational linguistics
- case
- chunk
- chunks
- classification tasks
- constraint violation
- development set
- document
- english language
- experimental results
- feature
- feature vectors
- kernel function
- labeling
- linguistics
- method
- named entities
- named entity
- names
- natural language
- part-of-speech
- penn treebank
- penn treebank ii
- phrase
- precision
- proper names
- propositions
- role labeling
- semantic
- semantic class
- semantic classes
- semantic role
- semantic roles
- sentence
- sentences
- support vector
- svms
- system description
- system performance
- tags
- target verb
- test data
- test set
- tokens
- training
- training and test data
- training set
- treebank
- trees
- verb
- window size
- word
- words