TeSSI® (Terminology Supported Semantic Indexing) is a state-of-the-art tool that improves upon the existing search and retrieval tools by extracting the meaning out of medical free text and placing the resulting medical ‘concepts’ in the document ind
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 cb2Bib is a tool for rapidly extracting unformatted, or unstandardized bibliographic references from email alerts, journal Web pages, and PDF files.
S. Huffman. Connectionist, Statistical, And Symbol Approaches to Learning for
Natural Language Processing, volume 1040, page 246-260. Springer, (1996)
E. Michlmayr, and S. Cayzer. Proceedings of the Workshop on Tagging and Metadata for Social Information Organization, 16th International World Wide Web Conference, (2007)
S. Auer, and J. Lehmann. ESWC '07: Proceedings of the 4th European conference on The Semantic Web, page 503--517. Berlin, Heidelberg, Springer-Verlag, (2007)
M. Schwab, R. Jäschke, and F. Fischer. Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, page 110--115. Association for Computational Linguistics, (2023)
F. Arnold, and R. Jäschke. Proceedings of the Workshop Understanding LIterature references in academic full TExt at JCDL 2022, volume 3220 of ULITE-ws '22, page 7--15. CEUR Workshop Proceedings, (2022)
S. Javanmardi, D. McDonald, and C. Lopes. Proceedings of the 7th International Symposium on Wikis and Open Collaboration, page 82--90. New York, NY, USA, ACM, (2011)
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)