Deep linguistic processing: Difference between revisions

Revision as of 01:43, 29 August 2012

Revision as of 12:26, 6 February 2013

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However, it is the belief of some computational linguists{{Who|date=August 2012}} that in order for computers to understand natural language or [[inference]], detailed syntactic and [[Semantic analysis (knowledge representation)|semantic representation]] is necessary. Moreover, shallow methods may lack human language 'understanding'. While humans can easily understand a sentence and its meaning, shallow linguistic processing might lack human language 'understanding'. For example:

:<ref>U. Schafer. 2007. ¨ [http://scidok.sulb.uni-saarland.de/volltexte/2007/1326/pdf/Dissertation_1383_Schae_Ulri_2007.pdf Integrating Deep and Shallow Natural Language Processing Components – Representations and Hybrid Architectures]. Ph.D. thesis, Faculty of Mathematics and Computer Science, Saarland University, Saarbrucken, Germany.</ref>: <br>

:a) ''Things would be different if Microsoft was located in Georgia.''

In sentence A, a shallow [[information extraction]] system might infer wrongly that Microsoft's headquarters was located in Georgia. While as humans, we understand from the sentence that Microsoft office was never in Georgia.<br>