U-Compare: share and compare text mining tools with UIMA Export

@article{citeulike:4464968, abstract = {Summary: Due to the increasing number of text mining resources (tools and corpora) available to biologists, interoperability issues between these resources are becoming significant obstacles to using them effectively. UIMA, the Unstructured Information Management Architecture, is an open framework designed to aid in the construction of more interoperable tools. U-Compare is built on top of the UIMA framework, and provides both a concrete framework for out-of-the-box text mining and a sophisticated evaluation platform allowing users to run specific tools on any target text, generating both detailed statistics and instance-based visualizations of outputs. U-Compare is a joint project, providing the world's largest, and still growing, collection of UIMA-compatible resources. These resources, originally developed by different groups for a variety of domains, include many famous tools and corpora. U-Compare can be launched straight from the web, without needing to be manually installed. All U-Compare components are provided ready-to-use and can be combined easily via a drag-and-drop interface without any programming. External UIMA components can also simply be mixed with U-Compare components, without distinguishing between locally and remotely deployed resources. Availability: http://u-compare.org/ Contact: kano@is.s.u-tokyo.ac.jp 10.1093/bioinformatics/btp289}, author = {Kano, Yoshinobu and Baumgartner, William A. and Mccrohon, Luke and Ananiadou, Sophia and Cohen, K. Bretonnel and Hunter, Lawrence and Tsujii, Jun'ichi}, citeulike-article-id = {4464968}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/bioinformatics/btp289}, citeulike-linkout-1 = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/25/15/1997}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/19414535}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=19414535}, day = {1}, doi = {10.1093/bioinformatics/btp289}, issn = {1460-2059}, journal = {Bioinformatics}, keywords = {nactem, sophia-ananiadou, text-mining, u-compare, uima, yoshinobu-kano}, month = {August}, number = {15}, pages = {1997--1998}, posted-at = {2009-05-07 12:36:58}, priority = {2}, title = {U-Compare: share and compare text mining tools with UIMA}, url = {http://dx.doi.org/10.1093/bioinformatics/btp289}, volume = {25}, year = {2009} }

TY - JOUR ID - citeulike:4464968 L3 - citeulike-article-id:4464968 N2 - Summary: Due to the increasing number of text mining resources (tools and corpora) available to biologists, interoperability issues between these resources are becoming significant obstacles to using them effectively. UIMA, the Unstructured Information Management Architecture, is an open framework designed to aid in the construction of more interoperable tools. U-Compare is built on top of the UIMA framework, and provides both a concrete framework for out-of-the-box text mining and a sophisticated evaluation platform allowing users to run specific tools on any target text, generating both detailed statistics and instance-based visualizations of outputs. U-Compare is a joint project, providing the world's largest, and still growing, collection of UIMA-compatible resources. These resources, originally developed by different groups for a variety of domains, include many famous tools and corpora. U-Compare can be launched straight from the web, without needing to be manually installed. All U-Compare components are provided ready-to-use and can be combined easily via a drag-and-drop interface without any programming. External UIMA components can also simply be mixed with U-Compare components, without distinguishing between locally and remotely deployed resources. Availability: http://u-compare.org/ Contact: kano@is.s.u-tokyo.ac.jp 10.1093/bioinformatics/btp289 IS - 15 JF - Bioinformatics SN - 1460-2059 EP - 1998 TI - U-Compare: share and compare text mining tools with UIMA VL - 25 SP - 1997 KW - nactem KW - sophia-ananiadou KW - text-mining KW - u-compare KW - uima KW - yoshinobu-kano AU - Kano, Yoshinobu AU - Baumgartner, William AU - Mccrohon, Luke AU - Ananiadou, Sophia AU - Cohen, Bretonnel AU - Hunter, Lawrence AU - Tsujii, Jun'ichi PY - 2009/08/01/ UR - http://dx.doi.org/10.1093/bioinformatics/btp289 ER -