Research Interests Comparator (RIC) is our fourth electronic text mining project. The goal of the RIC system is to dramatically improve the ability of biomedical researchers to find information that is relevant to their areas of study, and to provide them
TRITE is a pre-computed set of Medline similarity hits on topics of interest to medical researchers. TRITE uses the eTBLAST engine, operating on an edited set of topics selected from the Encyclopidia of Molecular Biology, Blackwell Science, Limited. The q
eTBLAST is a unique search engine for searching biomedical literature. Our service is very different from PubMed. While PubMed searches for "keywords", our search engine lets you input an entire paragraph and returns MEDLINE abstracts that are similar to
F. Ebrahim, and M. Joy. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, page 360–366. New York, NY, USA, Association for Computing Machinery, (Jul 3, 2024)
D. Rosnes, A. Starke, and C. Trattner. Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, page 201–211. New York, NY, USA, Association for Computing Machinery, (Jun 22, 2024)
R. Hendrawan, P. Brusilovsky, A. Lekshmi Narayanan, and J. Barria-Pineda. Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, page 256–263. New York, NY, USA, Association for Computing Machinery, (Jun 28, 2024)
D. Wangsadirdja, F. Heinickel, S. Trapp, A. Zehe, K. Kobs, and A. Hotho. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), page 1235--1243. Seattle, United States, Association for Computational Linguistics, (July 2022)