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Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems
TLDR
This paper presents a method that assists in maintaining a rule-based named-entity recognition and classification system. Expand
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Automatic Processing of Proper Names in Texts
TLDR
This paper shows first the problems raised by proper names in natural language processing. Expand
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Using Learning-based Filters to Detect Rule-based Filtering Obsolescence
TLDR
We have developed a method which automatically detects filtering obsolescence. Expand
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Producing NLP-based On-line Contentware
TLDR
This paper has reported our experience in building an architecture dedicated to produce large NLP-based on-line contentware which rely on many NLP components. Expand
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Training Context-Sensitive Neural Networks with Few Relevant Examples for the TREC-9 Routing
TLDR
The present paper describes our second participation to the routing task; it features improvements over our previous approach [Stricker et al., 2000]. Expand
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Multilingual XML-Based Named Entity Recognition for E-Retail Domains
TLDR
We describe the multilingual Named Entity Recognition and Classification (NERC) subpart of an e-retail product comparison system which is currently under development as part of the EU-funded project CROSSMARC. Expand
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Visualization of Diseases at Risk in the COVID-19 Literature
TLDR
This paper presents a project, named VIDAR-19, able to extract automatically diseases from the CORD-19 dataset, and also diseases which might be considered as risk factors. Expand
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Spying as an Object-Oriented Programming Paradigm
TLDR
We introduce spying, a novel way of programming with objects, based on capsule programming and reflective facilities. Expand
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Representation of Complex Objects: Multiple Facets with Part-Whole Hierarchies
TLDR
We have presented a working system that integrates in a homogeneous way multi-facets and part-whole hierarchies. Expand
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Two-Step Feature Selection and Neural Network Classification for the TREC-8 Routing
At the Caisse des Depots et Consignations (CDC), the Agence France-Presse (AFP) news releases are filtered continuously according to the users' interests. Once a user has specified a topic ofExpand
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