A general-purpose data mining model for Arabic texts (Arabic Meaning Extraction through Lexical Resources, ArMExLeR) is proposed which employs a chained pipeline of existing public domain and published lexical
Research confirms that companies that use a semantic layer improve their speed to insights by 4x – meaning that a typical project to launch a new data source with analysis and reporting capabilities taking 4 months can now be done in just one month using a semantic layer. AtScale’s ...
In the beginning of this section the following definitions are introduced. Attribute: Is a basic characteristic or a feature of a term. Term: Is considered as a set of connected attributes. Concept: Is a language independent meaning associated with at least one term, or set of terms. ...
Word Embedding-Based Method: Dense vector representations of words, known as word embeddings, are used to interpret semantic meaning in context. Pre-trained embeddings: Words are represented as vectors in a high-dimensional space by techniques such as Word2Vec Mikolov et al. (2013), GloVe Pennin...
“description" reflects how often the model extracts a description entity which is both equivalent in meaning to that of the true annotation (according to a domain expert) and is grouped in the correct JSON object (linked to the correct formula). We see that exact-match scoring severely under...
A large amount of information, stored in intranets and internet databases and accessed through the World-Wide Web, is organized in the form of full-text documents. Efficient retrieval of this information with regards to its meaning and content is an important problem in data mining systems for ...
Productionmeans a method of obtaining goods including manufacturing, assembling, processing, raising, growing, breeding, mining, extracting, harvesting, fishing, trapping, gathering, collecting, hunting and capturing. template versionhas the meaning ascribed to such term in NI 41-101 and includes any ...
ABBYY FlexiCapture SDK provides intelligent data extraction for certain fields. The technology looks for the fields on the document and analyzes the areas around them. To enhance the results, developers can use built-in field extraction training to more accurately define the position of fields and ...
There are different ways to leverage unstructured text fields in prediction models. Traditional text classification methods would use all of the text, with bag-of-word features for all occurring words, meaning that only the occurrence of individual words is used, whereas word order is discarded ...
Therefore, the complete pipeline should be designed with a mindset of being able to run the inference step in near real-time. The successful implementation of this approach should be accomplished bottom-up, meaning to have design concerns on the initial stages of the machine learning stack. ...