Deep linguistic processing: Difference between revisions

Revision as of 22:22, 3 August 2013

Revision as of 06:34, 10 October 2013

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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. [[Combinatory categorial grammar|CCG]], [[HPSG]], [[Lexical functional grammar|LFG]], [[Tree-adjoining grammar|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 (grammar)|predicate]]-[[argument]] 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> <br>

The knowledge-intensive approach of deep linguistic processing requires considerable computational power, and has in the past sometimes been judged as being intractable. However, research in the early 2000s had made considerable advancement in efficiency of deep processing.<ref>Ulrich Callmeier. [http://dl.acm.org/citation.cfm?id=973952.973959 PET – A platform for experimentation with efficient HPSG processing techniques]. Natural Language Engineering, 6(1):99 – 108, 2000.</ref><ref>Hans Uszkoreit. [http://acl.ldc.upenn.edu/coling2002/proceedings/data/area-01/uszkoreit.pdf New Chances for Deep Linguistic Processing]. In Proceedings of COLING 2002, pages xiv–xxvii, Taipei, Taiwan, 2002.</ref> Today, efficiency is no longer a major problem for applications using deep linguistic processing.

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"Deep" computational linguists are divided into different sub-communities based on the grammatical formalism they adopted for deep linguistic processing. The major sub-communities includes the:

*'''DE'''ep '''L'''inguistic '''P'''rocessing with '''H'''PSG - '''IN'''itiative ([[DELPH-IN]]) collaboration working with the [[HPSG]] formalism. The [http://cslipublications.stanford.edu/HPSG/ HPSG Conference] is the central conference to share knowledge/advancement of [[HPSG]] based deep processing.

*'''I'''nternational '''L'''exical-'''F'''unctional '''G'''rammar '''A'''ssociation (ILFGA) working with the LFG formalism. The [http://www.essex.ac.uk/linguistics/external/lfg/FAQ/conferences.html LFG Conference] is the central conference to share knowledge/advancement of [[Lexical functional grammar|LFG]] based deep processing.

*XTAG Research group working with the TAG formalism. The [http://alpage.inria.fr/tagplus11/doku.php?id=start TAG+ conference] is the central conference to share knowledge/advancement of [[Tree-adjoining grammar|TAG]] based deep processing.

The shortlist above is not exhaustively representative of all the communities working on deep linguistic processing.