All, I'm studying whether UIMA would make sense to add to my company's architecture and would appreciate it if anyone could point me to either of the following. We are considering using UIMA as a framework on which to build a web-scale NLP pipeline which would involve components like sentence boundary identification, tokenization, named entity identification, and phrase chunking.
1. Substantive examples of Python or Perl annoators, preferably something that both inputs and outputs consumes annotations. 2. More generally, could anybody point me to the use of UIMA in fielded industrial applications outside of IBM? I'd be particularly interested in talking to someone who had evaluated various alternatives and decided to go with UIMA. Anybody who decided to go with a different framework after evaulating UIMA would be helpful too. Thanks, Andrew Borthwick Principal Scientist Spock Networks
