Neil Ireson, Fabio Ciravegna, Marie Elaine Califf, Dayne Freitag, Nicholas Kushmerick, Alberto Lavelli: Evaluating Machine Learning for Information Extraction, 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, 7-11 August, 2005
This is the project page for SecondString, an open-source Java-based package of approximate string-matching techniques. This code was developed by researchers at Carnegie Mellon University from the Center for Automated Learning and Discovery, the Department of Statistics, and the Center for Computer and Communications Security.
SecondString is intended primarily for researchers in information integration and other scientists. It does or will include a range of string-matching methods from a variety of communities, including statistics, artificial intelligence, information retrieval, and databases. It also includes tools for systematically evaluating performance on test data. It is not designed for use on very large data sets.
The main task of the GenIELex project is the development of a biochemistry specific lexicon as well as of an annotated corpus for the evaluation of the system. The need for the construction of such a lexicon is illustrated by the following figures, based
The main task of the GenIELex project is the development of a biochemistry specific lexicon as well as of an annotated corpus for the evaluation of the system. The need for the construction of such a lexicon is illustrated by the following figures, based
Todays feature of the week post will point you to one of the hidden features of the system. As most of you certainly know one way to acquire the meta data of a publication is to use the screen scraping facility of BibSonomy.
seems like it must be viewed with a webkit browser like epiphany or chrome
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S. Huffman. Connectionist, Statistical, And Symbol Approaches to Learning for
Natural Language Processing, volume 1040, page 246-260. Springer, (1996)
H. Chieu, and H. Ng. Eighteenth national conference on Artificial intelligence, page 786--791. Menlo Park, CA, USA, American Association for Artificial Intelligence, (2002)
P. Kluegl, M. Atzmueller, and F. Puppe. Proceedings of the Biennial GSCL Conference 2009, 2nd UIMA@GSCL Workshop, page 233-240. Gunter Narr Verlag, (2009)
D. Maynard, Y. Li, and W. Peters. Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge, page 107-127. IOS Press, (2008)
P. Kluegl, M. Toepfer, F. Lemmerich, A. Hotho, and F. Puppe. Proceedings of 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM), page 240-248. Vilamoura, Algarve, Portugal, SciTePress, (6-8 02 2012)
R. Gupta, and S. Sarawagi. Proceedings of the fourth ACM international conference on Web search and data mining, page 217--226. New York, NY, USA, ACM, (2011)