Structure patterns in Information Extraction: a multilingual solution?

Gaël Lejeune (1, 2)

1 Equipe Hultech - Laboratoire GREYC - UMR6072
2 Helsingin yliopisto = Helsingfors universitet = University of Helsinki

IE systems nowadays work very well, but they are mostly monolingual and difficult to convert to other languages. We maybe have then to stop thinking only with traditional pattern-based approaches. Our project, PULS, makes epidemic surveillance through analysis of On-Line News in collaboration with MedISys, developed at the European Commission's Joint Research Centre (EC-JRC). PULS had only an English pattern-based system and we worked on a pilot study on French to prepare a multilingual extension. We will present here why we chose to ignore classical approaches and how we can use it with a mainly language-independent based only on discourse properties of press articlestructure. Our results show a precision of 87% and a recall of 93%. And we have good reasons to think that this approach will also be efficient for other languages.

Mots clés: Information Extraction; Multilingual; Epidemic Surveillance; endogenous method

Domaines: Traitement du texte et du document

Gaël Lejeune. Structure patterns in Information Extraction: a multilingual solution?. Advances in Methods of Information and Communication Technology, May 2009, Petrozavodsk, Russia. pp.105-111. ⟨hal-00605691⟩