Add to ORKGIn recent years, a range of text-mining applications have been developed to improve access to knowledge for biologists and database curators. This paper surveys text-mining works published from 2006 to 2008, with the emphasis on named entity recognition, biological relation extraction and currently available online biological text mining services
During the last 15 years, numerous researches related to bio-literature mining appears. They propose...
One of the fastest-growing fields in bioinformatics is text mining: the application of natural langu...
In this survey paper, we discuss biomedical ontologies and major text mining techniques applied to b...
Biomedical terminologies and ontologies are frequently described as enabling resources in text minin...
Text mining is a powerful technology for quickly distilling key information from vast quantities of ...
Scientific communication in biomedicine is, by and large, still text based. Text mining technologies...
Collecting, analyzing and extracting useful information from a very large amount of biomedical texts...
Biomedical scientific literature is becoming a valuable information sourcethat includes a hu...
In recent years the amount of experimental data that is produced in biomedical research and the numb...
Text mining deals with the automated annotation of texts and the extraction of facts from textual da...
The peer-reviewed articles and textual data are main source of data in biology. Text mining is solut...
Scientific progress is increasingly based on knowledge and information. Knowledge is now recognized ...
Biomedical text-mining have great promise to improve the usefulness of genomic researchers. The goal...
Text Mining for Biomedical domain is an active area of research that is seeing a plethora of new too...
Text mining is defined by Hearst (1999) as the automatic discovery of new, previously unknown, infor...
During the last 15 years, numerous researches related to bio-literature mining appears. They propose...
One of the fastest-growing fields in bioinformatics is text mining: the application of natural langu...
In this survey paper, we discuss biomedical ontologies and major text mining techniques applied to b...
Biomedical terminologies and ontologies are frequently described as enabling resources in text minin...
Text mining is a powerful technology for quickly distilling key information from vast quantities of ...
Scientific communication in biomedicine is, by and large, still text based. Text mining technologies...
Collecting, analyzing and extracting useful information from a very large amount of biomedical texts...
Biomedical scientific literature is becoming a valuable information sourcethat includes a hu...
In recent years the amount of experimental data that is produced in biomedical research and the numb...
Text mining deals with the automated annotation of texts and the extraction of facts from textual da...
The peer-reviewed articles and textual data are main source of data in biology. Text mining is solut...
Scientific progress is increasingly based on knowledge and information. Knowledge is now recognized ...
Biomedical text-mining have great promise to improve the usefulness of genomic researchers. The goal...
Text Mining for Biomedical domain is an active area of research that is seeing a plethora of new too...
Text mining is defined by Hearst (1999) as the automatic discovery of new, previously unknown, infor...
During the last 15 years, numerous researches related to bio-literature mining appears. They propose...
One of the fastest-growing fields in bioinformatics is text mining: the application of natural langu...
In this survey paper, we discuss biomedical ontologies and major text mining techniques applied to b...