Results 11 to 20 of about 184,770 (243)

Deductive parsing with interaction grammars [PDF]

open access: yes, 2009
We present a parsing algorithm for Interaction Grammars using the deductive parsing framework. This approach brings new perspectives to this problem, departing from previous methods which rely on constraint-solving ...
Le Roux, Joseph
core   +4 more sources

Tree parsing with synchronous tree-adjoining grammars [PDF]

open access: yes, 2011
Restricting the input or the output of a grammar-induced translation to a given set of trees plays an important role in statistical machine translation. The problem for practical systems is to find a compact (and in particular, finite) representation of ...
Vogler, Heiko   +2 more
core   +2 more sources

Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning [PDF]

open access: yes, 2012
Probabilistic grammars are generative statistical models that are useful for compositional and sequential structures. They are used ubiquitously in computational linguistics.
Noah A. Smith   +3 more
core   +1 more source

Inducing Compact but Accurate Tree-Substitution Grammars [PDF]

open access: yes, 2009
Tree substitution grammars (TSGs) are a compelling alternative to context-free grammars for modelling syntax. However, many popular techniques for estimating weighted TSGs (under the moniker of Data Oriented Parsing) suffer from the problems of ...
Phil Blunsom   +6 more
core   +1 more source

Parsing Based on Programmed Grammars

open access: yes, 2012
This thesis is researching methods of parsing based on programmed grammars. It modifies known algorithm of table driven non-recursive predictive parser for context-free grammars and applies it on programmed grammars.
Pačes, Jan
core   +2 more sources

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

open access: yesFEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang   +2 more
wiley   +1 more source

Count-based state merging for probabilistic regular tree grammars [PDF]

open access: yes, 2015
We present an approach to obtain language models from a tree corpus using probabilistic regular tree grammars (prtg). Starting with a prtg only generating trees from the corpus, the prtg is generalized step by step by merging nonterminals.
Dietze, Toni, Nederhof, Mark Jan
core   +2 more sources

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

open access: yesMolecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang   +9 more
wiley   +1 more source

Spatial biology in cancer epigenetics

open access: yesMolecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

Home - About - Disclaimer - Privacy