In the time of overloaded online information, automatic text summarization is especially demanded for salient information retrieval from huge amount electr... MM Haque,S Pervin,Z Begum - 《International Journal of Innovation & Applied Studies》 被引量: 2发表: 2013年 Multimodal-based Diversified Sum...
In a typical WSI scenario, automatic WSI systems identify the activated sense of a word in a given context, using a variety of features [1]. This task is akin to the word sense disambiguation (WSD) problem [4], as both induction and disambiguation requires the effective identification of ...
The logical definitions of unrelated pairs of fully defined concepts in non-lattice subgraphs that indicate quality issues are intersected to generate the logical definitions of potential missing concepts. A text summarization model (called PEGASUS) is fine-tuned to predict the fully specified names of...
Text analysis is an approach that lends itself to the use of computational methods especially well. Sociology has a long history of using computer-assisted text analysis in both quantitative and qualitative research traditions. It, thus, does not come as a surprise that notable methodological innovat...
We found that text-summarization, sentence-simplification, and some rule-based techniques in the literature exacted the informative-sentences from an input text. Most of the previous articles did not focus adequately on the step of informative-sentence selection. But it is a useful-step for ...
The Power BI store ensures the query is fast, and that all changes to the visual reflect immediately. Visuals don't reflect changes to the underlying data in the data store. You need to reimport to refresh the data. Publishing the report to the Power BI service as a .pbix file creates...
Automation summarization is a technique that cuts down a large text format into a meaningful short paragraph. This technique is used by search engines.Build your own NLP model with our step-by-step NLP Projects guide!Named entity recognitionNamed entity recognition identifies physical objects and ...
The data analysis process helps reduce a large chunk of data into smaller fragments, which makes sense. Three essential things occur during the data analysis process — the first is data organization. Summarization and categorization together contribute to becoming the second known method used for ...
This information can be extracted from text and used for applications such as summarization, data mining and intelligent search. However, identifying biomedical entities and relations in text is a complex and challenging task. One difficulty, addressed by this research, is the problem of lexical ...
Furthermore, this review thoroughly discusses the nonlinearity rule concerning how the mathematical structure of the nonlinear dependence is correlated to its practical applications. This summarization is useful for identifying and guiding the potential applications of nonlinearity based on their mathematical ...