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In text summarization a large collections of text documents are transformed to a reduced and compact text document, which represents the digest of the original text collections.
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The study identified 1417 documents which represent 3.3% of global research productivity.
In single-document summarizers, a single large text document is summarized to another single document summary, whereas in multi-document summarization, a set of text documents (multi documents) are summarized to a single document summary which represents the overall glimpse of the multiple documents.
On July 12th, Media Watch, a television programme, disclosed what lay behind this apparent change of mind.A leaked document from the Australian Bankers Associationn, which represents 27 banks, outlined a deal under which the banks paid Mr Laws and his station A$1.2 million ($780,000).
The scale of the immediate financial challenge was apparent again today in a document prepared by NHS Providers, which represents health trusts in England, and made public by Labour.
An association based topic discovery method was proposed in [24] which represents each document in a vector format, where each document vector is considered a transaction.
The document decryption is computed as (DEC _{_{2}}left( D_{i}right)) which represents decryption of document (D_{i}) with K_{2}}left). .
The document encryption is computed as (ENC_{K_{2}}left( D_{i}right)) which represents encryption of document (D_{i}) with key (K_{2}).
This survey has been undertaken by EFOMP in 2005, to update the document "Policy Statement No. 1", which represents the starting point of the EFOMP recommendations on Education and Training in Medical Physics.
Despite the fact that we do not yet have clarity on this issue, we think it is important to document what we have tried, which represents over a year of work, to provide a foundation for future efforts (the biochemistry data is now presented in two new figure supplements, Figure 1 figure supplement 4 and Figure 1 figure supplement 5).
A topic model is a probability distribution technique over the collection of text documents, where each document is modeled as a combination of topics, which represents groups of words that tend to occur together.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com