most citedAutomatic annotation of multilingual text collections with a conceptual thesaurus

79 citations · 199 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CL2006★ 9 cited

A tool set for the quick and efficient exploration of large document collections

Camelia Ignat, Bruno Pouliquen, Ralf Steinberger +1

We are presenting a set of multilingual text analysis tools that can help analysts in any field to explore large document collections quickly in order to determine whether the docu…

cs.CL2006★ 6 cited

Building and displaying name relations using automatic unsupervised analysis of newspaper articles

Bruno Pouliquen, Ralf Steinberger, Camelia Ignat +1

We present a tool that, from automatically recognised names, tries to infer inter-person relations in order to present associated people on maps. Based on an in-house Named Entity…

cs.CL2006

Geocoding multilingual texts: Recognition, disambiguation and visualisation

Bruno Pouliquen, Marco Kimler, Ralf Steinberger +8

We are presenting a method to recognise geographical references in free text. Our tool must work on various languages with a minimum of language-dependent resources, except a gazet…

cs.CL2006★ 35 cited

Exploiting multilingual nomenclatures and language-independent text features as an interlingua for cross-lingual text analysis applications

Ralf Steinberger, Bruno Pouliquen, Camelia Ignat

We are proposing a simple, but efficient basic approach for a number of multilingual and cross-lingual language technology applications that are not limited to the usual two or thr…

cs.CL2006★ 12 cited

Extending an Information Extraction tool set to Central and Eastern European languages

Camelia Ignat, Bruno Pouliquen, Antonio Ribeiro +1

In a highly multilingual and multicultural environment such as in the European Commission with soon over twenty official languages, there is an urgent need for text analysis tools…

cs.CL2006★ 53 cited

Automatic Identification of Document Translations in Large Multilingual Document Collections

Bruno Pouliquen, Ralf Steinberger, Camelia Ignat

Texts and their translations are a rich linguistic resource that can be used to train and test statistics-based Machine Translation systems and many other applications. In this pap…