Sentence examples for document indexes from inspiring English sources

A new national standard was released in 2012 setting an agreed list of clinical document indexes, including document types, sub-types and the metadata recommended to be associated with a clinical document for storage, sorting and retrieval [ 27].

In this paper, we propose a scheme to accelerate the Probabilistic Latent Semantic Indexing (PLSI), which is an automated document indexing method based on a statistical latent semantic model, exploiting the high parallelism of Graphics Processing Unit (GPU).

After keyword extraction, input documents and the document index are fetched to the Encryption block.

To develop a document indexing scheme that improves the retrieval effectiveness for free-text medical documents.

Therefore, this assignment is called the chemical document indexing (CDI) task.

Besides, it has many features to improve performance and availability, such as document indexing, replication, and load balancing.

2.3.5 lies in the fact that the external corpus is completely decoupled from the underlying document index.

Application of LSA: information filtering, document index, video retrieval, text classification and clustering, image retrieval, information extraction, and so on.

In the remainder of this section, we focus on document indexing based on knowledge gained from Deep Learning.

The chemical document indexing (CDI) subtask pursues the creation of a list of the chemical entities in a document, ranked according to their confidence of recognition [8].

The Encryption block uses the keys generated by the key generator to create the encrypted document set and encrypted document index.