Байес генеративті моделі

method ID: bayesiangenerativemodel

Related Papers

Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model

Authors: nan

Publication: TIPSTER (2011)

DOI: nan

We present an inference algorithm that orga- nizes observed words (tokens) into structured inflectional paradigms (types). It also natu- rally predicts the spelling of unobserved forms that are missing from …...

44328

From Natural Language Specifications to Program Input Parsers

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

We present a method for automatically generating input parsers from English specifications of input file formats. We use a Bayesian generative model to cap- ture relevant natural language phenomena and …...

40159

Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractMost combinations of NLP tasks and language varieties lack in-domain examples for supervised training because of the paucity of annotated data. How can neural models make sample-efficient generalizations from task–language …...

26889

Sentiment as an Ordinal Latent Variable

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractSentiment analysis has become a central tool in various disciplines outside of natural language processing. In particular in applied and domain-specific settings with strong requirements for interpretable methods, dictionary-based approaches …...

43075