Semantic bootstrapping is a linguistic theory of child language acquisition which proposes that children can acquire the syntax of a language by first...

process, bootstrapping can be divided into different domains, according to whether it involves semantic bootstrapping, syntactic bootstrapping, prosodic...

however, argues that semantic bootstrapping and syntactic bootstrapping aren't conflicting ideas, and that semantic bootstrapping makes no claims about...

Prosodic bootstrapping (also known as phonological bootstrapping) in linguistics refers to the hypothesis that learners of a primary language (L1) use...

a compiler is a metaprogram specifying the object language grammar and semantic transformations into an object program. A typical parser generator associates...

Bootstrap aggregating, also called bagging (from bootstrap aggregating) or bootstrapping, is a machine learning (ML) ensemble meta-algorithm designed to improve...

add to the dictionary. Repeat. Basilisk (Bootstrapping Approach to Semantic Lexicon Induction using Semantic Knowledge) by Thelen and Riloff. Step One:...

ISBN 978-3-540-31878-1. Movshovitz-Attias, Dana; Cohen, William W. (2012). "Bootstrapping Biomedical Ontologies for Scientific Text using NELL" (PDF). Proceedings...

a class of model-free reinforcement learning methods which learn by bootstrapping from the current estimate of the value function. These methods sample...

Crowdsourcing of Lexical Resources for Bootstrapping a Linguistic Data Cloud" (PDF). Proc. Joint Int. Semantic Technology Conference (JIST). Nara, Japan...

Montesano, L.; Bernardino, A.; Santos-Victor, J. (2012). "Language bootstrapping: learning word meanings from the perception-action association". IEEE...

Spacetime Hypothesis using Artificial Narrative Comprehension (I) : Bootstrapping Meaning from Episodic Narrative viewed as a Feature Landscape". arXiv:2010...

source of knowledge such as a small annotated corpus as seed data in a bootstrapping process, or a word-aligned bilingual corpus. Supervised methods: These...

infrequently to extract enough sub- or supersumption relationships. Instead, bootstrapping methods are developed, which learn these patterns automatically and...

abstractions of things in the real world, whether physical or social. Semantic studies are relevant to various stages of concept formation. Semantics...

aggregation (bagging) involves training an ensemble on bootstrapped data sets. A bootstrapped set is created by selecting from original training data...

enormously helpful for analyzing information infrastructure: imbrication, bootstrapping, figure/ground, and a short discussion of infrastructural inversion...

specifically information extraction, sentiment analysis, semantic class induction, and bootstrapping methods that learn from unannotated texts. After receiving...

Junnan; Li, Dongxu; Savarese, Silvio; Hoi, Steven (2023-01-01). "BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language...

Recursive Descent Compiling describes the compiler implementation and bootstrapping process, and the 1982 book An Introduction to Programming with S-algol...

doi:10.25300/MISQ/2014/38.2.05. Wauters, Robin (November 2010). "From Bootstrapping To $300M In Value: Meet The Founder Of Directi (TCTV)". TechCrunch....

the case of the Semantic Web and Web 2.0, and second, the success for such global technologies is mainly associated with bootstrapping an already installed...

learning AdaBoost Boosting Bootstrap aggregating (also "bagging" or "bootstrapping") Ensemble averaging Gradient boosted decision tree (GBDT) Gradient...

between concepts using a different relation types, such as those in the UMLS Semantic Network. Some approaches go further and try to apply contextualized relations...

in all of its aspects (phonological, syntactic, lexical, morphological, semantic) through the use of general learning mechanisms operating on statistical...

nativists to argue that verb meaning acquisition based on syntactic bootstrapping is language universal and innate. The second property of major significance...

wonderful gem which includes a number of excellent examples, including the bootstrapping of Meta II in itself (all this was done on an 8K (six bit byte) 1401...

and weak effects. Boosting (meta-algorithm) Bootstrap aggregating Bootstrapping (statistics) Cross-validation (statistics) Random forest Random subspace...

multi-label learning was first introduced by Shen et al. in the context of Semantic Scene Classification, and later gained popularity across various areas...

inter-group differences, or use small sample techniques, like exact tests or bootstrapping? In case the randomization procedure seems to be defective: can and...