A b o u t T e x t p r e s s o
Manual, full-text literature curation underlies much of the annotation found in biological databases, but the process of finding relevant papers and specific supporting evidence for annotations can be very time-consuming. To ameliorate the cost and tedium of manual curation, we have re-implemented, from scratch, the Textpresso text mining system to allow for direct annotation of full text and integration of that annotation into diverse curation systems. The new system, Textpresso Central, preserves the key features of the original system by allowing for sophisticated queries using keywords and semantically related categories, but enhances the user experience by providing search results in the context of full text. Resulting full text annotations can readily be integrated into any user-defined curation platform and also used to develop training sets to further improve text mining performance. The current implementation of TextpressoCentral includes articles from the PMC Open Archive and uses the Unstructured Information Management Architecture (UIMA) framework as well as Lucene indexing. To maximize the utility of the system, Textpresso Central also allows for processing and displaying of results from third-party text mining and natural language processing algorithms.
L e g a l N o t i c e s
Any results and output obtained from the Textpresso server shall not be used for any purpose other than private study, scholarship or academic research. Anybody using Textpresso in excess of "fair use" may be liable for copyright infringement. All materials appearing on this server may not be reproduced or stored in a retrieval system without prior written permission of the publisher and in no case for profit. Documents from this server are provided "AS-IS" without any warranty, expressed or implied.
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