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Method in computational linguistics
In computational linguistics the Yarowsky algorithm is an unsupervised learning algorithm for word sense disambiguation that uses the "one sense per collocation"
Yarowsky_algorithm
Paradigm in machine learning
In natural language processing, a common self-training algorithm is the Yarowsky algorithm for problems like word sense disambiguation, accent restoration
Weak_supervision
Machine learning paradigm
results on ImageNet and on transfer and semi-supervised benchmarks. The Yarowsky algorithm is an example of self-supervised learning in natural language processing
Self-supervised_learning
Identification of which sense of a word is being used
sense disambiguation algorithms use semi-supervised learning, which allows both labeled and unlabeled data. The Yarowsky algorithm was an early example
Word-sense_disambiguation
Natural language processing algorithm
The Lesk algorithm is a classical algorithm for word sense disambiguation introduced by Michael E. Lesk in 1986. It operates on the premise that words
Lesk_algorithm
Project to create text and speech corpora
quotation marks, and marking punctuation. As another example, the Yarowsky algorithm used bitext data from DCI to train a simple word-sense disambiguation
ACL Data Collection Initiative
ACL_Data_Collection_Initiative
monosemous synonyms, hypernyms, hyponyms, parsed gloss' words, etc.), Yarowsky algorithm (bootstrapping), acquisition via Web directories, and acquisition
Automatic acquisition of sense-tagged corpora
Automatic_acquisition_of_sense-tagged_corpora
Standardized AI performance test
Challenge Dataset for the Open-Domain Machine Comprehension of Text". In Yarowsky, David; Baldwin, Timothy; Korhonen, Anna; Livescu, Karen; Bethard, Steven
Language_model_benchmark
Ongoing series of evaluations of computational semantic analysis systems
Edmonds (eds.), Word Sense Disambiguation: Algorithms and Applications. Dordrecht: Springer, 299–338. Yarowsky, D. (1992), Word-sense disambiguation using
SemEval
Technique in natural language processing
Vol. 3975. pp. 674–675. doi:10.1007/11760146_84. ISBN 978-3-540-34478-0. Yarowsky, D., and Florian, R., Taking the Load off the Conference Chairs: Towards
Latent_semantic_analysis
YAROWSKY ALGORITHM
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YAROWSKY ALGORITHM
YAROWSKY ALGORITHM
YAROWSKY ALGORITHM
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YAROWSKY ALGORITHM