Robust Processing of Natural Language
KI '95 Proceedings of the 19th Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Corpus-Driven Unsupervised Learning of Verb Subcategorization Frames
AI*IA '97 Proceedings of the 5th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
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Incremental finite-state parsing
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
A new statistical parser based on bigram lexical dependencies
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
A rule-based approach to prepositional phrase attachment disambiguation
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
A maximum entropy model for prepositional phrase attachment
HLT '94 Proceedings of the workshop on Human Language Technology
Multilingual authoring: the NAMIC approach
HLTKM '01 Proceedings of the workshop on Human Language Technology and Knowledge Management - Volume 2001
Personalizing Web Publishing via Information Extraction
IEEE Intelligent Systems
Question Answering in Restricted Domains: An Overview
Computational Linguistics
Harvesting Relational and Structured Knowledge for Ontology Building in the WPro Architecture
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Data-Driven Dialogue for Interactive Question Answering
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Natural Language Processing Across Time: An Empirical Investigation on Italian
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
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International Journal of Web and Grid Services
An Analysis of the Impact of Ambiguity on Automatic Humour Recognition
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
A robust and hybrid deep-linguistic theory applied to large-scale parsing
ROMAND '04 Proceedings of the 3rd Workshop on RObust Methods in Analysis of Natural Language Data
SRSL '09 Proceedings of the 2nd Workshop on Semantic Representation of Spoken Language
RitroveRAI: a web application for semantic indexing and hyperlinking of multimedia news
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
A linguistic inspection of textual entailment
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
Learning textual entailment on a distance feature space
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
The impact of semantic and morphosyntactic ambiguity on automatic humour recognition
NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
From humor recognition to irony detection: The figurative language of social media
Data & Knowledge Engineering
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Robustness has been traditionally stressed as a general desirable property of any computational model and system. The human NL interpretation device exhibits this property as the ability to deal with odd sentences. However, the difficulties in a theoretical explanation of robustness within the linguistic modelling suggested the adoption of an empirical notion. In this paper, we propose an empirical definition of robustness based on the notion of performance. Furthermore, a framework for controlling the parser robustness in the design phase is presented. The control is achieved via the adoption of two principles: the modularisation, typical of the software engineering practice, and the availability of domain adaptable components. The methodology has been adopted for the production of CHAOS, a pool of syntactic modules, which has been used in real applications. This pool of modules enables a large validation of the notion of empirical robustness, on the one side, and of the design methodology, on the other side, over different corpora and two different languages (English and Italian).