Entities, Relations, Events

pressrelease3

Hidden in the vast amounts of data that your company has are a lot of valuable facts, such as who is doing what, when, and with whom. Many natural-language-processing (NLP) applications, such as automatic content extraction, document classification, question answering, and automatic summarization, require a precise analysis of the linguistic content of the text to gain intelligence. We provide annotated data for named entities, relations, events, etc., so that you can leverage the labeled data when developing, tuning, and testing your smart systems and applications that discover that kind of intelligence. As each language and domain has its own intricacies, it is important to have detailed guidelines for this type of annotation work. We are experts in developing those guidelines according to your specifications for any language and domain—social, global, local, and mobile.