A common framework for quantifying the learnability of nouns and verbs.
Yuchen ZhouDan YurovskyPublished in: CogSci (2021)
Keyphrases
- wordnet
- word sense disambiguation
- co occurrence
- finite automata
- natural language processing
- boolean functions
- semantic information
- uniform distribution
- inductive inference
- uniform convergence
- pattern languages
- highly ambiguous
- knowledge base
- learning algorithm
- semantic features
- semantic relations
- agnostic learning
- vapnik chervonenkis dimension
- pac learning
- inductive logic programming
- dnf formulas
- data sets
- distinctive features
- semantic roles
- machine translation
- linear separability