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Found 4 papers, 1 papers with code
A Novel Machine Learning Based Approach for Post-OCR Error Detection
Post processing is the most conventional approach for correcting errors that are caused by Optical Character Recognition(OCR) systems.
A Deep Learning System for Automatic Extraction of Typological Linguistic Information from Descriptive Grammars
In this study, we present a deep learning system for the task of automatic extraction of linguistic features from textual descriptions of natural languages.
Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
Co-evolution across coding and non-coding regions suggests that it is not single motifs or regions, but the entire gene regulatory structure and specific combination of regulatory elements that define gene expression levels.
Exploiting Frame-Semantics and Frame-Semantic Parsing for Automatic Extraction of Typological Information from Descriptive Grammars of Natural Languages
We describe a novel system for automatic extraction of typological linguistic information from descriptive grammars of natural languages, applying the theory of frame semantics in the form of frame-semantic parsing.
