Flexible Parsing Architectures for NLP Applications

Authors:
Roberto Basili;Maria Teresa Pazienza;Fabio Massimo Zanzotto
Affiliations:
-;-;-
Venue:
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Year:
2001

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Abstract

The requirements of different NLP applications have strong implications on the design and implementation of the related syntactic recognisers. In this paper, a fine-grained modular parser design framework is presented. Our aim is to reduce the design of a parsing processors to the composition of a pool of basic modules. Results over sample parsers and criteria for optimising coverage and accuracy are discussed.