Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
An empirical symbolic approach to natural language processing
Artificial Intelligence - Special volume on empirical methods
SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
Structural ambiguity and lexical relations
Computational Linguistics - Special issue on using large corpora: I
Using SGML as a basis for data-intensive NLP
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Software infrastructure for natural language processing
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
An open distributed architecture for reuse and integration of heterogeneous NLP components
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Generalizing automatically generated selectional patterns
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
A rule-based approach to prepositional phrase attachment disambiguation
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
University of Sheffield: description of the LaSIE system as used for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
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In order to design complex, effective and adaptable NLP systems a methodology able to satisfy two traditionally conflicting requirements in software engineering, i.e (linguistic) expressiveness and robustness, is necessary. By combining NLP methodologies and Language Engineering (LE) methods with Software Engineering (SE) criteria, we propose a software infrastructure able to optimize the design and development of complex IE applications. The basic idea is to embed within the software infrastructure itself a suitable linguistic description and make available at a computational level relevant portions of the linguistic abstraction required by a variety of applications.