Multidisciplinary Intersections on Artificial-Human Vividness: Phenomenology, Representation, and the Brain. [PDF]
Brain Sci, 2022 Molokopoy V, D'Angiulli A.
europepmc +1 more source
An Efficient Probabilistic Context-Free Parsing Algorithm that Computes Prefix Probabilities [PDF]
, 1993 We describe an extension of Earley's parser for stochastic context-free grammars that computes the following quantities given a stochastic context-free grammar and an input string: a) probabilities of successive prefixes being generated by the grammar; b)
Stolcke, Andreas
core +4 more sources
SCHUBOT: Machine Learning Tools for the Automated Analysis of Schubert’s Lieder [PDF]
, 2014 This paper compares various methods for automated musical analysis, applying machine learning techniques to gain insight about the Lieder (art songs) of com- poser Franz Schubert (1797-1828).
Nagler, Dylan Jeremy
core +1 more source
Automatic evaluation of top-down predictive parsing [PDF]
, 2016 We develop efficient methods to check whether two given Context-Free Grammars (CFGs) are transformed into parsers that recognize the same language and construct the same Abstract Syntax Trees (ASTs) for each input. In this setting, we consider a model of
Creus, Carles +3 more
core +1 more source
Marco para parsing predictivo interactivo aplicado a la lengua castellana [PDF]
, 2010 El marco teórico de Parsing Predictivo Interactivo (IPP) permite construir sistemas de anotación sintáctica interactivos. Los anotadores humanos pueden utilizar estos sistemas de ayuda para crear árboles sintácticos con muy poco esfuerzo (en comparación ...
Benedí Ruiz, José Miguel +3 more
core +1 more source
Fast and Tiny Structural Self-Indexes for XML
, 2010 XML document markup is highly repetitive and therefore well compressible using dictionary-based methods such as DAGs or grammars. In the context of selectivity estimation, grammar-compressed trees were used before as synopsis for structural XPath queries.
Maneth, Sebastian, Sebastian, Tom
core +1 more source
Estimating probabilistic context-free grammars for proteins using contact map constraints. [PDF]
PeerJ, 2019 Dyrka W, Pyzik M, Coste F, Talibart H.
europepmc +1 more source
Statistical Relational Learning With Unconventional String Models. [PDF]
Front Robot AI, 2018 Vu MH +5 more
europepmc +1 more source
A Comprehensive Review of Computational Methods for Automatic Prediction of Schizophrenia With Insight Into Indigenous Populations. [PDF]
Front Psychiatry, 2019 Ratana R +3 more
europepmc +1 more source
A stochastic context free grammar based framework for analysis of protein sequences. [PDF]
BMC Bioinformatics, 2009 Dyrka W, Nebel JC.
europepmc +1 more source