Multilingual generation and summarization of job adverts: the TREE project

Authors:
Harold Somers;Bill Black;Joakim Nivre;Torbjörn Lager;Annarosa Multari;Luca Gilardoni;Jeremy Ellman;Alex Rogers
Affiliations:
Centre for Computational Linguistics, UMIST, Manchester, England;Centre for Computational Linguistics, UMIST, Manchester, England;SSKKII, University of Göteborg, Sweden;SSKKII, University of Göteborg, Sweden;Quinary SpA, Milano, Italy;Quinary SpA, Milano, Italy;MARI Computer Systems Ltd, Ashington, Northumberland, England;MARI Computer Systems Ltd, Ashington, Northumberland, England
Venue:
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Year:
1997

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Abstract

A multilingual Internet-based employment advertisement system is described. Job ads are submitted as e-mail texts, analysed by an example-based pattern matcher and stored in language-independent schemas in an object-oriented database. Users can search the database in their own language and get customized summaries of the job ads. The query engine uses symbolic case-based reasoning techniques, while the generation module integrates canned text, templates, and grammar rules to produce texts and hypertexts in a simple way.