Paper: Robust Processing Of Real-World Natural-Language Texts

ACL ID A92-1026
Title Robust Processing Of Real-World Natural-Language Texts
Venue Applied Natural Language Processing Conference
Session Main Conference
Year 1992
Authors

I1. is often assumed that when natural language processing meets the real world, the ideal of aiming for complete and correct interpretations has to be abandoned. However, our experience with TACITUS; especially in the MUC-3 eval- uation, has shown that. principled techniques fox' syntactic and pragmatic analysis can be bolstered with methods for achieving robust- ness. We describe three techniques for mak- ing syntactic analysis more robust--an agenda- based scheduling parser, a recovery technique for failed parses, and a new technique called ter- minal substring parsing. For pragmatics pro- cessing, we describe how the method of ab- ductive inference is inherently robust, in that an interpretation is always possible, so that in the absence of the required world knowledge, performance deg...