Paper: From Shallow To Deep Parsing Using Constraint Satisfaction

ACL ID C02-1104
Title From Shallow To Deep Parsing Using Constraint Satisfaction
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors

We present in this paper a technique allowing to choose the parsing granularity within the same approach relying on a constraint-based formalism. Its main advantage lies in the fact that the same linguistic resources are used whatever the granularity. Such a method is useful in particular for systems such as text-to-speech that usually need a simple bracketing, but in some cases requires a precise syntactic structure. We illustrate this method in comparing the results for three different granularity levels and give some figures about their respective performance in parsing a tagged corpus.