Deep learning has achieved magnificent success in the field of pattern recognition. In recent years Urdu character recognition system significantly benefited from effectiveness deep convolutional neural network. Majority research on text are concentrated formal handwritten and printed document. this paper, we experimented Challenging issue ancient literature documents. Due to its cursiveness, c...

Abstract A large amount of materials science knowledge is generated and stored as text published in peer-reviewed scientific literature. While recent developments natural language processing, such Bidirectional Encoder Representations from Transformers (BERT) models, provide promising information extraction tools, these models may yield suboptimal results when applied on domain since they are n...

Domain-speci c text analysis requires a dictionary of linguistic patterns that identify references to relevant information in a text. This paper describes CRYSTAL, a fully automated tool that induces such a dictionary of text extraction rules. We discuss some key issues in developing an automatic dictionary induction system, using CRYSTAL as a concrete example. CRYSTAL derives text extraction r...

Distributions of the senses of words are often highly skewed. This fact is exploited by word sense disambiguation (WSD) systems which back off to the predominant (most frequent) sense of a word when contextual clues are not strong enough. The topic domain of a document has a strong influence on the sense distribution of words. Unfortunately, it is not feasible to produce large manually sense-an...