Francis Wolinski
Université Paris 1 Panthéon-Sorbonne: Paris, Île-de-France, FR
Publications21
Citations132
Highly Influential Citations2
- Publications
- Influence
This paper presents a method that assists in maintaining a rule-based named-entity recognition and classification system. The underlying idea is to use a separate system, constructed with the use of… Continue Reading
For years, Caisse des Depots et Consignations has produced information filtering applications. To be operational, these applications require high filtering performances which are achieved by using… Continue Reading
This paper shows first the problems raised by proper names in natural language processing. Second, it introduces the knowledge representation structure we use based on conceptual graphs. Then it… Continue Reading
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… Continue Reading
For its internal needs as well as for commercial purposes, CDC Group has produced several NLP-based on-line contentware applications for years. The development process of such applications is subject… Continue Reading
We introduce spying, a novel way of programming with objects, based on capsule programming and reflective facilities. This programming style allows easy building of monitoring systems, such as… Continue Reading
We have presented a working system that integrates in a homogeneous way multi-facets and part-whole hierarchies. Of course many improvements are in order, notably some form of compilation to gain… Continue Reading
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 of… Continue Reading
Many expert systems need a lot of data. For a long time this point has appeared to be a bottleneck for the growth of Artificial Intelligence applications. A major way to provide an expert system with… Continue Reading
The present paper describes our second participation to the routing task; it features improvements over our previous approach [Stricker et al., 2000]. Our former model used a "bag of words" for text… Continue Reading