Am 02.05.2013 um 08:57 schrieb swirl <[email protected]>: > Thanks Richard for your informative reply. > You mentioned you able to use DKPro Core and ClearTK together. > a. Do you use them as PEAR or do you simply download (manually or via > Maven) the JARs and use the annotators like a library?
We add the JARs as Maven dependencies and build our processing pipelines dynamically using uimaFIT. > b. Your post imply that DKPro Core and ClearTK has some sort of configurable > type system or are type agnostic. So far I have seen that OpenNLP are able > to load whatever type in the application via the parameter configuration > settings like "opennlp.uima.SentenceType". Are DKPro Core and ClearTK simple > to OpenNLP annotators in this aspect? Most of the pre-processing components of DKPro Core and ClearTK are not configurable with respect to types. We use the pre-processing component from DKPro Core, (tokenizers, taggers, parsers, etc.) and combine that with the machine learning part of ClearTK (cleartk-ml), mainly with the feature extractor framework, which is largely type agnostic, but requires implementing a thin UIMA component deciding which features are extracted from the CAS. This thin component contains the knowledge about the DKPro Core type system (or whatever other type system we use/custom types for an experiment). Cheers, -- Richard
