ACL RD-TEC 1.0 Summarization of W05-1201
Paper Title:
CLASSIFICATION OF SEMANTIC RELATIONS BY HUMANS AND MACHINES
CLASSIFICATION OF SEMANTIC RELATIONS BY HUMANS AND MACHINES
Authors: Erwin Marsi and Emiel Krahmer
Primarily assigned technology terms:
- abstracting
- algorithm
- alignment algorithm
- annotation tool
- automatic alignment
- automatic classification
- classification
- classification algorithm
- classifier
- computational linguistics
- dependency analysis
- dependency parsing
- distance function
- dynamic programming
- dynamic programming algorithm
- feature weighting
- learning
- learning algorithms
- lemmatization
- machine learning
- machine learning algorithms
- matching
- memory-based classifier
- memory-based learning
- modeling
- nlp
- node matching
- one-to-one mapping
- optimization
- parser
- parsing
- part-of-speech tagging
- pos tagging
- programming algorithm
- qa system
- relation classification
- tagging
- tree alignment
- weighting
Other assigned terms:
- alignment task
- annotation
- annotator
- annotators
- approach
- association for computational linguistics
- baseline score
- case
- classification performance
- classification problem
- composition
- dependency graph
- dependency graphs
- dependency relation
- dependency relations
- dependency structure
- dependency structures
- dependency tree
- dutch
- entailment
- f-score
- feature
- french
- gold standard
- human annotators
- human performance
- hyponym
- information content
- interannotator agreement
- k-score
- kappa
- kappa statistic
- labeling
- lexical semantic
- linguistics
- mapping
- measures
- monolingual corpus
- nlp tasks
- node similarity
- parallel corpus
- paraphrase
- parse
- part-of-speech
- phrase
- precision
- procedure
- relation
- root node
- semantic
- semantic information
- semantic label
- semantic relation
- semantic relations
- sentence
- sentence level
- sentences
- similarity function
- statistic
- substring
- synonym
- syntactic constituents
- terms
- text
- tokens
- translations
- tree
- user
- verb
- word
- words
