LingPipe – Information Extraction and Data Mining Tools
http://alias-i.com/lingpipe/

LingPipe is a suite of Java libraries for the linguistic analysis of human language.
LingPipe’s information extraction and data mining tools features include: 1) track mentions of entities (e.g. people or proteins); 2) link entity mentions to database entries; 3) uncover relations between entities and actions; 4) classify text passages by language, character encoding, genre, topic, or sentiment; 5) correct spelling with respect to a text collection; 6) cluster documents by implicit topic and discover significant trends over time; and 7) provide part-of-speech tagging and phrase chunking. LingPipe’s architecture is designed to be efficient, scalable, reusable, and robust. Highlights include: a) Java API with source code and unit tests; b) multi-lingual, multi-domain, multi-genre models; c) training with new data for new tasks; d) n-best output with statistical confidence estimates; e) online training (learn-a-little, tag-a-little); f) thread-safe models and decoders for concurrent-read exclusive-write (CREW) synchronization; and g) character encoding-sensitive I/O. This has been added to Data Mining Resources Subject Tracer™ Information Blog. This will be added to Web Data Extractors white paper link compilation.