BMCBI
2007
13 years 6 months ago
2007
Background: High-throughput molecular biology provides new data at an incredible rate, so that the increase in the size of biological databanks is enormous and very rapid. This sc...
DKE
2006
13 years 6 months ago
2006
Hidden Web databases maintain a collection of specialised documents, which are dynamically generated in response to users' queries. The majority of these documents are genera...
DKE
2006
13 years 6 months ago
2006
Information extraction (IE) addresses the problem of extracting specific information from a collection of documents. Much of the previous work on IE from structured documents, suc...
CSDA
2006
13 years 6 months ago
2006
An approach to simultaneous document classification and word clustering is developed using a two-way mixture model of Poisson distributions. Each document is represented by a vect...
BMCBI
2006
13 years 6 months ago
2006
Background: Document classification is a wide-spread problem with many applications, from organizing search engine snippets to spam filtering. We previously described Textpresso, ...
IAJIT
2008
13 years 6 months ago
2008
: Information retrieval tries to identify relevant documents for an information need. The problems that an IR system should deal with include document indexing (which tries to extr...
BMCBI
2006
13 years 6 months ago
2006
Background: Accuracy of document retrieval from MEDLINE for gene queries is crucially important for many applications in bioinformatics. We explore five information retrieval-base...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
This paper considers a tree-rewriting framework for modeling documents evolving through service calls. We focus on the automatic verification of properties of documents that may c...
BMCBI
2010
13 years 6 months ago
2010
Background: Advances in biotechnology and in high-throughput methods for gene analysis have contributed to an exponential increase in the number of scientific publications in thes...
WWW
2010
ACM
13 years 6 months ago
2010
ACM
To improve the search results for socially-connect users, we propose a ranking framework, Social Network Document Rank (SNDocRank). This framework considers both document contents...