Sentence examples for documents for retrieval from inspiring English sources

Experimental results show that the method is robust in locating seal instances of arbitrary shape and orientation in documents, and also efficient in indexing a collection of documents for retrieval purposes.

Tips for evaluating the design package include analyzing, getting clarifications and storing documents for future retrieval have been given.

Show your card to security personnel keep it with your other travel documents for ease of retrieval.

Documents are generally represented for retrieval by either extracting index terms from them or by creating and selecting from an external set of candidate terms.

This paper presents a multi-level matching method for document retrieval (DR) using a hybrid document similarity.

While Deep Learning generative models can have a relatively slow learning/training time for producing binary codes for document retrieval, the resulting knowledge yields fast inferences which is one major goal of Big Data Analytics.

The resulting markup identifies key concepts that would be hard to spot on the original Latin documents and is mainly intended for retrieval purposes.

eFIP performance was evaluated for document retrieval, sentence-level information extraction and document ranking.

The REMBRANDT is composed of the REMBRANDT NER tool (participated on the Second HAREM RE-NOIRIR, a semantic query reformulation module for document retrieval; SASKIA, a knowledge base for all knowledge resources and stored data; an indexer that generates standard term and semantic indexes for all extracted NEs; and a retrieval and ranking module, called LGTE7 (Lucene with GeoTemporal Extensions).

Table 1 Search-on-speech applications Type of result (output) Type of query (input) Text Query Document SDR QbE-SDR Document+Position STD/KWS QbE-STD 'SDR' stands for Spoken Document Retrieval, 'STD' for Spoken Term Detection, 'KWS' for Keyword Spotting, and 'QbE' for Query-by-Example.

eFIP integrates our previously developed tools, Extracting Gene Related ABstracts (eGRAB) for document retrieval and name disambiguation, Rule-based LIterature Mining System (RLIMS-P) for Protein Phosphorylation for extraction of phosphorylation information, a PPI module to detect PPIs involving phosphorylated proteins and an impact module for relation extraction.