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Information Extraction for Polish Using the SProUT Platform

Published 1 January 2004
Jakub Piskorski, Peter Homola, Małgorzata Marciniak, Agnieszka Mykowiecka, Adam Przepiórkowski, Marcin Woliński
Citations34

TL;DR

The aim of this article is to present the initial results of adapting SProUT, a multi-lingual Natural Language Processing platform developed at DFKI, Germany, to the processing of Polish, and some of the problems posed by the integration of Morfeusz, an external morphological analyzer for Polish.

Abstract

The aim of this article is to present the initial results of adapting SProUT, a multi-lingual Natural Language Processing platform developed at DFKI, Germany, to the processing of Polish. The article describes some of the problems posed by the integration of Morfeusz, an external morphological analyzer for Polish, and various solutions to the problem of the lack of extensive gazetteers for Polish. The main sections of the article report on some initial experiments in applying this adapted system to the Information Extraction task of identifying various classes of Named Entities in financial and medical texts, perhaps the first such Information Extraction effort for Polish.

Keywords

Computer Science