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
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 home page of the ParsCit project, which performs reference string parsing, sometimes also called citation parsing or citation extraction. It is architected as a supervised machine learning procedure that uses Conditional Random Fields as its learning mechanism. You can download the code below, parse strings online, or send batch jobs to our web service (coming soon!). The code contains both the training data, feature generator and shell scripts to connect the system to a web service (used here too).
M. Romanello, M. Berti, A. Babeu, and G. Crane. HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia, New York, NY, USA, ACM, (July 2009)
S. Auer, and J. Lehmann. The Semantic Web: Research and Applications, 4th European Semantic Web Conference, ESWC 2007, Innsbruck, Austria, volume 4519 of Lecture Notes in Computer Science, Springer, Berlin, (2007)
M. Atzmueller, and S. Beer. Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS), University of Ilmenau, (2010)
M. Atzmueller, and S. Beer. Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS), University of Ilmenau, (2010)
S. Blohm, and P. Cimiano. Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), page pp. 18-29. Springer, (2007)
J. Illig, B. Roth, and D. Klakow. Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, page 100--105. Gothenburg, Sweden, Association for Computational Linguistics, (April 2014)
J. Illig, B. Roth, and D. Klakow. Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, page 100--105. Gothenburg, Sweden, Association for Computational Linguistics, (April 2014)
P. Kluegl, M. Toepfer, P. Beck, G. Fette, and F. Puppe. Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations, page 29--33. Dublin, Ireland, Dublin City University and Association for Computational Linguistics, (August 2014)
J. Tang, M. Hong, J. Li, and B. Liang. International Semantic Web Conference, volume 4273 of Lecture Notes in Computer Science, page 640-653. Springer, (2006)