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Deep Linguistic Processing is a natural language processing framework which draws on theoretical and descriptive linguistics. It models language predominantly by way of theoretical syntactic/semantic theory (e.g. [[CCG]], [[HPSG]], [[LFG]], [[TAG]], the [[Prague School]]). The Deep Linguistic Processing approaches differ from shallower methods in that they yield richer, more expressive, structural representation which capture [[long-distance dependencies]] or the underlying [[predicate]]-[[arguement]] structure directly.<ref>Timothy Baldwin, Mark Dras, Julia Hockenmaier, Tracy Holloway King, and Gertjan van Noord. 2007. [http://dl.acm.org/citation.cfm?id=1621410.1621415 |The impact of deep linguistic processing on parsing technology]. In Proc. of the 10th International Workshop on Parsing Technologies (IWPT-2007), pages 36–8, Prague, Czech Republic.</ref>
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