Intertwining deep syntactic processing and named entity detection
Caroline Brun, Caroline Hagege
In this paper, we present a robust incremental architecture for natural language processing centered around
syntactic analysis but allowing at the same time the description of specialized modules, like named entity
recognition. We show that the flexibility of our approach allow us to intertwine general and specific processing,
whcih has a mutual improvement effect on their respective results: for example, syntactic analysis clearly
benefit from named entity recognition as a pre-processing step, but named entity recognition can also take
advantage of deep syntactic information.
ESTAL 2004, Alicante, Spain, October 20-22, 2004.